pith. sign in

arxiv: 1907.00521 · v1 · pith:SDQDVYZXnew · submitted 2019-07-01 · ⚛️ physics.ed-ph

Physics teaching assistants' views of different types of introductory problems: Challenge of perceiving the instructional benefits of context-rich and multiple-choice problems

Pith reviewed 2026-05-25 11:50 UTC · model grok-4.3

classification ⚛️ physics.ed-ph
keywords physics educationteaching assistantsproblem typescontext-rich problemsmultiple-choice questionsformative assessmentprofessional development
0
0 comments X

The pith

Many physics TAs list no pros for context-rich or multiple-choice problems and see the latter only as high-stakes tests.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper examines physics graduate TAs' opinions on the instructional value of different problem formats that all start from the same physics scenario. It concentrates on the two formats TAs rated lowest: context-rich problems and multiple-choice questions. Even when asked to name at least one advantage, many TAs named none. They described multiple-choice items almost exclusively as tools for final grading and context-rich items as excessively difficult, wordy, and time-consuming for students. The authors conclude that this pattern points to a gap in how TAs are prepared to use these formats for engagement or ongoing feedback.

Core claim

TAs regard context-rich problems as overly challenging, unnecessarily wordy, and too time-consuming to benefit their students, while they view multiple-choice questions nearly exclusively as instruments for high-stakes summative assessment rather than as possible tools for formative assessment such as clicker questions in large classes. Many TAs listed no advantages for either type despite being explicitly prompted to do so. These perceptions held for problems built on identical scenarios that TAs rated more favorably in other formats.

What carries the argument

TAs' written lists of pros and cons for problem types derived from the same scenario, which exposed their limited recognition of formative-assessment or active-learning uses.

If this is right

  • TA professional development programs would need to include explicit practice in designing and deploying context-rich problems to build problem-solving skills.
  • Training would need to demonstrate concrete ways multiple-choice items can supply real-time feedback even in large lectures.
  • Without shifts in these views, introductory courses may continue to under-use active-engagement methods that rely on these problem types.
  • The same scenario-comparison interview method could be reused to track whether views on other formats change after training.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Departments could test whether sections led by TAs who recognize these benefits show higher rates of student participation or conceptual gains.
  • Similar gaps in recognizing benefits may appear for other active-learning tools, suggesting the issue is broader than problem format alone.
  • Some TAs' skepticism may stem from real constraints such as grading time or class size, so training would need to address those constraints directly.

Load-bearing premise

That the instructional benefits of well-designed context-rich and multiple-choice problems are substantial enough that TAs' failure to name them mainly reflects a training gap rather than practical limits or doubts about their fit in ordinary courses.

What would settle it

A follow-up study that measures whether TAs who complete targeted training on these formats later list more pros, report using the formats in their sections, and produce measurable gains in student engagement compared with untrained TAs.

Figures

Figures reproduced from arXiv: 1907.00521 by Chandralekha Singh, Edit Yerushalmi, Emily Marshman, Melanie Good.

Figure 1
Figure 1. Figure 1: FIG. 1 [PITH_FULL_IMAGE:figures/full_fig_p006_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2 [PITH_FULL_IMAGE:figures/full_fig_p007_2.png] view at source ↗
read the original abstract

Given a physics scenario, different problem types presenting that scenario in various ways can emphasize different instructional goals. In this investigation, we examined the views of physics graduate teaching assistants (TAs) about the instructional benefits of different types of introductory problems based upon the same problem scenario. Here we report on TAs' views about two of these problem types that were regarded by TAs as the least instructionally beneficial of all problem types--the context rich and multiple-choice formats. Many TAs listed no pros at all for these problem types, despite being explicitly asked for at least one pro. They viewed multiple-choice questions nearly exclusively as tools for high-stakes summative assessment rather than their possible use as formative assessment tools, e.g., as clicker questions even in large classes. Similarly, TAs viewed context-rich problems as overly challenging, unnecessarily wordy, and too time-consuming to be instructionally beneficial to their students. While TAs' concerns have obvious validity and value, the benefits of well-designed multiple-choice questions as a formative assessment tool was not readily identified by them, nor did the TAs recognize the learning benefits associated with solving context-rich problems. Given the powerful ways multiple-choice and context-rich problems can be used for active engagement and formative assessment in different instructional contexts to meet diverse instructional goals, the lack of enthusiasm for these types of problems has implications for future TA professional development programs.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The manuscript examines physics graduate teaching assistants' (TAs) perceptions of the instructional benefits of context-rich and multiple-choice problems in introductory physics, based on the same underlying scenario. The central finding is that many TAs identified no advantages for these formats despite being prompted, viewing multiple-choice questions exclusively as high-stakes summative tools and context-rich problems as excessively challenging, wordy, and time-consuming. The authors conclude that this indicates a need for enhanced TA professional development to highlight the formative assessment and active engagement potential of these problem types.

Significance. This work addresses an important aspect of physics education research by exploring TAs' views on problem design, which can inform training programs. If the results are robust, they suggest that TAs may underappreciate certain instructional tools, potentially affecting student learning in recitation sections. The qualitative approach allows for rich insights into TA reasoning, but its value depends on methodological transparency.

major comments (2)
  1. [Abstract/Methods] The manuscript does not report the sample size of TAs interviewed, details of the interview protocol, the coding method used to analyze responses, or any measure of inter-rater reliability. These omissions make it difficult to evaluate the prevalence and reliability of the reported views, which are central to the claim that 'many TAs listed no pros at all' and the implications for professional development.
  2. [Discussion] The interpretation that the lack of identified benefits primarily reflects a training gap assumes that the instructional benefits of well-designed context-rich and multiple-choice problems are substantial and readily transferable to typical TA-led sections. However, the paper provides no within-study evidence or validation that these formats deliver net gains after accounting for preparation time, class size, and other constraints mentioned by TAs. This makes the attribution to insufficient training an external premise rather than a data-driven conclusion.
minor comments (1)
  1. [Abstract] The abstract states the main observations but could benefit from including the number of participants or a brief note on methodology to strengthen the summary.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive comments, which help clarify the presentation of our qualitative study on TA perceptions. We respond to each major comment below.

read point-by-point responses
  1. Referee: [Abstract/Methods] The manuscript does not report the sample size of TAs interviewed, details of the interview protocol, the coding method used to analyze responses, or any measure of inter-rater reliability. These omissions make it difficult to evaluate the prevalence and reliability of the reported views, which are central to the claim that 'many TAs listed no pros at all' and the implications for professional development.

    Authors: We agree that these details are necessary for evaluating the findings and will add them to the methods section in revision. The expanded description will include the number of participants, the semi-structured interview protocol, the thematic analysis procedure, and inter-rater reliability measures. revision: yes

  2. Referee: [Discussion] The interpretation that the lack of identified benefits primarily reflects a training gap assumes that the instructional benefits of well-designed context-rich and multiple-choice problems are substantial and readily transferable to typical TA-led sections. However, the paper provides no within-study evidence or validation that these formats deliver net gains after accounting for preparation time, class size, and other constraints mentioned by TAs. This makes the attribution to insufficient training an external premise rather than a data-driven conclusion.

    Authors: The manuscript reports TAs' perceptions and explicitly notes that their concerns have validity; the professional-development implication follows from the observed absence of recognized benefits that are documented elsewhere in the PER literature on these formats. We will revise the discussion to state this distinction more explicitly and to avoid any implication of within-study validation of net gains. We maintain that the data on perceptions directly support the call for training to address the identified gap in views. revision: partial

Circularity Check

0 steps flagged

No circularity: qualitative empirical report with no derivations or self-referential modeling

full rationale

The paper is a qualitative interview/survey study reporting TAs' stated views on problem formats. It contains no equations, no fitted parameters, no predictions derived from inputs, and no load-bearing self-citations that reduce the central claims to prior author work by construction. The interpretive framing (that unrecognized benefits indicate a training gap) rests on external literature assumptions rather than any internal reduction of the reported data to itself. This is a standard non-circular empirical report.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Qualitative interview-based study with no mathematical models, fitted parameters, or postulated entities; relies on participant self-reports and researcher interpretation of themes.

pith-pipeline@v0.9.0 · 5799 in / 1008 out tokens · 29378 ms · 2026-05-25T11:50:06.080774+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

101 extracted references · 101 canonical work pages · 1 internal anchor

  1. [1]

    Yerushalmi, C

    E. Yerushalmi, C. Henderson, K. Heller, P. Heller, and V . Kuo, Physics faculty beliefs and values about the teaching and learning of problem solving I. Mapping the common core Phys. Rev. ST PER 3, 020109 (2007)

  2. [2]

    Eylon and F

    B. Eylon and F. Reif, Effects of knowledge organization on task performance Cognition Instruction 1, 5 (1984)

  3. [3]

    E. F. Redish, The Implications of Cognitive Studies for Teaching Physics, Am. J. Phys. 62, 796 (1994)

  4. [4]

    Scott, T

    M. Scott, T. Stelzer, and G. Gladding, Evaluating multiple-choice exams in large introductory physics courses, Phys. Rev. ST PER 2, 020102 (2006)

  5. [5]

    Mestre, Is transfer ubiquitous or rare: New paradigms for studying transfer, Proc

    J. Mestre, Is transfer ubiquitous or rare: New paradigms for studying transfer, Proc. Phys. Educ. Res. Conf., AIP Conf. Proc. 790, 3 Melville, NY (2005)

  6. [6]

    M. Chi, P. Feltovich, and R. Glaser, Characterization and representation of physics problems by experts and novices, Cognitive Science 5, 121(1981)

  7. [7]

    Reif, Millikan Lecture 1994: Understanding and teaching important scientific thought processes, Am

    F. Reif, Millikan Lecture 1994: Understanding and teaching important scientific thought processes, Am. J. Phys. 63, 17 (1995)

  8. [8]

    Reif, Teaching problem solving–A scientific approach The Phys

    F. Reif, Teaching problem solving–A scientific approach The Phys. Teach. 19, 310 (1981)

  9. [9]

    Eylon and F

    B. Eylon and F. Reif F, Effects of knowledge organization on task performance, Cogn. Instr. 1, 5 (1984)

  10. [10]

    K. K. Mashood and V . Singh, Large-scale studies on the transferability of general problem-solving skills and the pedagogic potential of physics, Phys. Educ. 48, 629 (2013)

  11. [11]

    Bolton and S

    J. Bolton and S. Ross, Developing students physics problem-solving skills, Phys. Educ. 32, 176 (1997)

  12. [12]

    Yerushalmi, C

    E. Yerushalmi, C. Henderson, K. Heller, P. Heller, and V . Kuo, Physics faculty beliefs and values about the teaching and learning of problem solving I. Mapping the common core, Phys. Rev. ST PER 3, 020109 (2007)

  13. [13]

    Singh, When physical intuition fails, Am

    C. Singh, When physical intuition fails, Am. J. Phys. 70, 1103 (2002)

  14. [14]

    Singh Assessing student expertise in introductory physics with isomorphic problems

    C. Singh Assessing student expertise in introductory physics with isomorphic problems. I. Performance on a nonintuitive problem pair from introductory physics, Phys. Rev. ST PER 4, 010104 (2008)

  15. [15]

    Singh, Assessing student expertise in introductory physics with isomorphic problems

    C. Singh, Assessing student expertise in introductory physics with isomorphic problems. II. Effect of some potential factors on problem solving and transfer, Phys. Rev. ST PER 4, 010105 (2008)

  16. [16]

    S. Y . Lin and C. Singh, Using isomorphic problems to learn introductory physics, Phys. Rev. ST PER7, 020104 (2011)

  17. [17]

    S. Y . Lin and C. Singh, Using isomorphic problem pair to learn introductory physics: Transferring from a two-step problem to a three-step problem, Phys Rev ST PER 9, 020114 (2013)

  18. [18]

    S. Y . Lin and C. Singh, Effect of scaffolding on helping introductory physics students solve quantitative problems involving strong alternative conceptions, Phys. Rev. ST PER11, 020105 (2015)

  19. [19]

    Yerushalmi, E

    E. Yerushalmi, E. Cohen, A. Mason and C. Singh, What do students do when asked to diagnose their mistakes? Does it help them? I. An atypical quiz context , Phys. Rev. ST PER 8, 020109 (2012)

  20. [20]

    Yerushalmi, E

    E. Yerushalmi, E. Cohen, A. Mason and C. Singh, What do students do when asked to diagnose their mistakes? Does it help them? II. A more typical quiz context, Phys. Rev. ST PER 8, 020110 (2012)

  21. [21]

    Mason and C

    A. Mason and C. Singh, Using categorization of problems as an instructional tool to help introductory students learn physics, Phys. Educ. 51, 025009 (2016)

  22. [22]

    Henderson et al., Instructional Goals and Grading Practices of Graduate Students after One Semester of Teaching Experience, Proc

    C. Henderson et al., Instructional Goals and Grading Practices of Graduate Students after One Semester of Teaching Experience, Proc. Phys. Educ. Res. Conf. (2015) doi: 10.1119/perc.2014.pr.024

  23. [23]

    Hake, Interactive-engagement vs

    R. Hake, Interactive-engagement vs. traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses, Am. J. Phys. 66, 64 (1998)

  24. [24]

    Nicol and D

    D. Nicol and D. Macfarlane-Dick, Formative assessment and selfregulated learning: a model and seven principles of good feedback practice, Studies in Higher Educ., 31, 2 (2006)

  25. [25]

    Faust, and D

    J. Faust, and D. Paulson, Active learning in the college classroom, J. Excellence in College Teaching 9, 3 (1998)

  26. [26]

    For example, see http://www.aps.org/programs/education/graduate/conf2008/index.cfm

  27. [27]

    Nyquist, R

    J. Nyquist, R. Abbott, and D. Wulff, The challenge of TA training in the 1990s, in New Directions for Teaching and Learning 39: pp. 7-13, Kendall/Hunt publishing Company, Dubuque, IA, 1989

  28. [28]

    Yerushalmi, K

    E. Yerushalmi, K. Heller, P. Heller, C. Henderson, Instructors’ reasons for choosing problem features in a calculus-based introductory physics course, Phys. Rev. ST PER 6, 020108 (2010)

  29. [29]

    Lawrenz, P

    F. Lawrenz, P. Heller, and R. Keith, Training the teaching assistant J. Col. Sci. Teach.22 (1992)

  30. [30]

    Yerushalmi, E

    E. Yerushalmi, E. Marshman, A. Maries, C. Henderson, and C. Singh, Grading practices and considerations of graduate students at the beginning of their teaching assignment, Proc. Phys. Educ. Res. Conf. (2015) doi: 10.1119/perc.2014.pr.068

  31. [31]

    Yerushalmi, R

    E. Yerushalmi, R. Sayer, E. Marshman, C. Henderson, and C. Singh, Physics graduate teaching assistants’ beliefs about a grading rubric: Lessons learned, Proc. Phys. Educ. Res. Conf. Proc. (2016) doi: 10.1119/perc.2016.pr.097

  32. [32]

    S. Y . Lin, C. Henderson, W. Mamudi, C. Singh, and E. Yerashalmi, Teaching assistants beliefs regarding example solutions in introduc- tory physics, Phys. Rev. ST PER 9, 010120 (2013)

  33. [33]

    Marshman, R

    E. Marshman, R. Sayer, C. Henderson, E. Yerushalmi, and C. Singh, The challenges of changing teaching assistants grading practices: Requiring students to show evidence of understanding, Can. J. Phys. 96 (4), 420 (2018)

  34. [34]

    Marshman, R

    E. Marshman, R. Sayer, C. Henderson, and C. Singh, Contrasting grading approaches in introductory physics and quantum mechanics: The case of graduate teaching assistants, Phys. Rev. ST PER 13, 010120 (2017)

  35. [35]

    Goertzen, R

    R. Goertzen, R. Scherr, and A. Elby, Respecting tutorial instructors’ beliefs and experiences: A case study of a physics teaching assistant, Phys. Rev. ST PER 6 (2), 020125 (2010)

  36. [36]

    Chini and A

    J. Chini and A. Al-Rawi, Alignment of TAs’ beliefs with practice and student perception Proc. Phys. Educ. Res. Conf. (2012) doi: 10.1063/1.4789661

  37. [37]

    Fuhrman, Developing good multiple-choice tests and test questions, J

    M. Fuhrman, Developing good multiple-choice tests and test questions, J. Geoscience Educ. 44, 379 (1996)

  38. [38]

    K. K. Mashood and V . A. Singh, An inventory on rotational kinematics of a particle: unraveling misconceptions and pitfalls in reasoning, Euro. J. Phys. 33, (2012)

  39. [39]

    Engelhardt, An introduction to classical test theory as applied to conceptual multiple-choice tests, Getting Started in PER 2 (2009)

    P. Engelhardt, An introduction to classical test theory as applied to conceptual multiple-choice tests, Getting Started in PER 2 (2009)

  40. [40]

    Li and C

    J. Li and C. Singh, Developing and validating a conceptual survey to assess introductory physics students’ understanding of magnetism, Euro J Phys 38 (2), 025702 (2017)

  41. [41]

    L. Ding, R. Chabay, B. Sherwood, and R. Beichner, Valuating an assessment tool: Brief Electricity and Magnetism Assessment, Phys Rev ST PER 1 ,10105 (2006)

  42. [42]

    Savinainen and P

    A. Savinainen and P. Scott, Using the Force Concept Inventory to monitor student learning and to plan teaching, Phys. Educ. 37, 53 (2002)

  43. [43]

    Singh and D

    C. Singh and D. Rosengrant, Multiple-choice test of energy and momentum concepts, Am. J. Phys, 71, 607 (2003)

  44. [44]

    Singh, Student understanding of symmetry and Gauss’s law of electricity, Am

    C. Singh, Student understanding of symmetry and Gauss’s law of electricity, Am. J. Phys., 74 (10), 923 (2006)

  45. [45]

    Rimoldini and C

    L. Rimoldini and C. Singh, Student understanding of rotational and rolling motion concepts, Phys. Rev. ST PER 1, 010102 (2005)

  46. [46]

    Zhu and C

    G. Zhu and C. Singh, Surveying students’ understanding of quantum mechanics in one spatial dimension, Am. J. Phys. 80, 252 (2012)

  47. [47]

    D. F. Treagust, Development and use of diagnostic tests to evaluate students’ misconceptions in scienceInt. J. Sci. Educ. 10 159 (1988)

  48. [48]

    Mazur, Peer Instruction: A User’s Manual Prentice Hall, Upper Saddle River, NJ (1997)

    E. Mazur, Peer Instruction: A User’s Manual Prentice Hall, Upper Saddle River, NJ (1997)

  49. [49]

    Keller, N

    C. Keller, N. Finkelstein, K. Perkins, S. Pollock, C. Turpen, and M. Dubson, Research-based practices for effective clicker use, Proc. Phys. Educ. Res. Conf., AIP Conf. Proc. doi: 10.1063/1.2820913

  50. [50]

    Singh, Impact of peer interaction on conceptual test performance, Am

    C. Singh, Impact of peer interaction on conceptual test performance, Am. J. Phys. 73 (5), 446 (2005)

  51. [51]

    Singh and G

    C. Singh and G. Zhu, Improving students’ understanding of quantum mechanics by using peer instruction tools, Proc. Phys. Ed. Res. Conf., AIP Conf. Proc., Melville, New York1413, 77-80 (2012) doi:10.1063/1.3679998

  52. [52]

    Sayer, E

    R. Sayer, E. Marshman, and C. Singh, The impact of peer interaction on the responses to clicker questions in an upper-level quantum mechanics course, Proc. Phys. Educ. Res. Conf. (2016) doi: 10.1119/perc.2016.pr.071

  53. [53]

    Miller, N

    K. Miller, N. Lasry, K. Chu, and E. Mazur, Role of physics lecture demonstrations in conceptual learning,Phys. Rev. ST PER9, 020113 (2013)

  54. [54]

    James, The effect of grading incentive on student discourse in Peer Instruction, Am

    M. James, The effect of grading incentive on student discourse in Peer Instruction, Am. J. Phys. 74, 689 (2006) doi: 10.1119/1.2198887

  55. [55]

    Willoughby and E

    S. Willoughby and E. Gustafson, Technology talks: Clickers and grading incentive in the large lecture hall,Am. J. Phys. 77, 180 (2009). doi: 10.1119/1.3013542

  56. [56]

    Flipping

    S. Zappe, R. Leicht, J. Messner, T. Litzinger and H. W. Lee, “Flipping” the classroom to explore active learning in a large undergraduate course, American Society for Engineering Education Annual Conference & Exposition (2009)

  57. [57]

    Karim, A

    N. Karim, A. Maries, and C. Singh, Do evidence-based active-engagement courses reduce the gender gap in introductory physics?, Eur. J. Phys. 39, 025701 (2017)

  58. [58]

    Karim, A

    N. Karim, A. Maries, and C. Singh, Impact of evidence-based flipped or active-engagement non-flipped courses on student performance in introductory physics, Can. J. Phys. 96(4), 411 (2018)

  59. [59]

    Lorenzo, C

    M. Lorenzo, C. Crouch and E. Mazur, Reducing the gender gap in the physics classroom, Am. J. Phys 74, 118 (2006)

  60. [60]

    Bonham, R

    S. Bonham, R. Beichner, A. Titus, and L. Martin, Education research using web-based assessment systems, J. Res. Comput. Educ. 33, 28 (2000)

  61. [61]

    Beichner, The Student-Centered Activities for Large Enrollment Undergraduate Programs (SCALE-UP) Project Research-Based Reform of University Physics V ol

    R. Beichner, The Student-Centered Activities for Large Enrollment Undergraduate Programs (SCALE-UP) Project Research-Based Reform of University Physics V ol. 1 (2007)

  62. [62]

    Sokoloff and R

    D. Sokoloff and R. Thornton, Using interactive lecture demonstrations to create an active learning environment, The Phys. Teach. 35, 340 (1997)

  63. [63]

    Manivannan and D

    K. Manivannan and D. Meltzer, Use of in-class physics demonstrations in highly interactive format, Proc. Phys. Educ. Res. Conf. (2001). doi: 10.1119/perc.2001.pr.011

  64. [64]

    Sharma, I

    M. Sharma, I. Johnston, H. Johnston, K. Varell, G. Robertson, A. Hopkins, C. Stewart, I. Cooper, and R. Thornton, Use of interactive demonstrations: A ten year study, Phys. Rev. ST PER 6, 020119 (2010)

  65. [65]

    Putt, Testing the mastery concept of self-paced learning in physics, Am

    G. Putt, Testing the mastery concept of self-paced learning in physics, Am. J. Phys. 45, 472 (1977)

  66. [66]

    Keebaugh, E

    C. Keebaugh, E. Marshman and C. Singh, Investigating and addressing student difficulties with the corrections to the energies of the hydrogen atom for the strong and weak field Zeeman effect, Euro. J. Phys. 39, 045701 (2018)

  67. [67]

    Singh, Interactive learning tutorials on quantum mechanics, Am

    C. Singh, Interactive learning tutorials on quantum mechanics, Am. J. Phys., 76, 400 (2008)

  68. [68]

    Li and C

    J. Li and C. Singh, Investigating and improving student understanding of symmetry and Gauss’s law, Euro. J. Phys. 39, 015702 (2018)

  69. [69]

    Saul, Beyond problem solving: Evaluating introductory physics courses through the hidden curriculum, PhD Dissertation University of Maryland (1998)

    J. Saul, Beyond problem solving: Evaluating introductory physics courses through the hidden curriculum, PhD Dissertation University of Maryland (1998)

  70. [70]

    Singh, Interactive video tutorials for enhancing problem solving, reasoning, and meta-cognitive skills of introductory physics stu- dents, AIP Conf

    C. Singh, Interactive video tutorials for enhancing problem solving, reasoning, and meta-cognitive skills of introductory physics stu- dents, AIP Conf. Proc. 720, 177 (2004) doi:10.1063/1.1807283

  71. [71]

    Singh, Computer-based tutorials to develop expertise in introductory physics students APS Forum on Education https://www.aps.org/units/fed/newsletters/summer2008/singh.cfm (2008)

    C. Singh, Computer-based tutorials to develop expertise in introductory physics students APS Forum on Education https://www.aps.org/units/fed/newsletters/summer2008/singh.cfm (2008)

  72. [72]

    Singh and D

    Developing problem solving skills of students taking introductory physics via web-based tutorials, C. Singh and D. Haileselassie, J. Coll. Sci. Teach. 39 (4), 42 (2010)

  73. [73]

    DeV ore, E

    S. DeV ore, E. Marshman, and C. Singh, Challenge of engaging all students via self-paced interactive electronic learning tutorials for introductory physics, Phys. Rev. STPER 13, 010127 (2017)

  74. [74]

    S. DeV ore, Using the tutorial approach to improve physics learning from introductory to graduate levelPhD Dissertation University of Pittsburgh (2010) http://d-scholarship.pitt.edu/23484/

  75. [75]

    Marshman, S

    E. Marshman, S. DeV ore and C. Singh, Challenge of helping introductory physics students transfer their learning by engaging with a self-paced learning tutorial, Frontiers in Science 1, (2018)

  76. [76]

    Sayer, E

    R. Sayer, E. Marshman, and C. Singh, Case study evaluating Just-In-Time Teaching and Peer Instruction using clickers in a quantum mechanics course, Phys. Rev. ST PER 12, 020133 (2016)

  77. [77]

    Heller and M

    P. Heller and M. Hollabaugh, Teaching problem solving through cooperative grouping. Part 1: Group versus individual problem solving, Am. J. Phys. 60(7), 627 (1992); P. Heller and M. Hollabaugh, Teaching problem solving through cooperative grouping. Part 2: Designing problems and structuring groups, Am. J. Phys. 60, 7 (1992)

  78. [78]

    C. A. Ogilvie, Impact of context-rich, multifaceted problems on students’ attitudes towards problem-solving, arXiv:0809.1081 (2008)

  79. [79]

    C. A. Ogilvie, Changes in students’ problem-solving strategies in a course that includes context-rich, multifaceted problems Phys. Rev. ST PER 5, 020102 (2009)

  80. [80]

    Antonenko, C

    P. Antonenko, C. Ogilvie, D. Niederhauser, J. Jackman, P. Kumsaikaew, R. Marathe, S. Ryan, Understanding student pathways in context-rich problems, Educ. and Info. Tech. 16, 323 (2010)

Showing first 80 references.