Jonathan P. Mathews
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Jonathan P. Mathews has a total of 21 co-authors. Here are the top co-authors by number of shared publications:
Justin K. Watson
5 shared publicationsYesica E. Alvarez
3 shared publicationsChang’aN Wang
School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
2 shared publicationsFidel Castro-Marcano
2 shared publications- Randall E. Winans
X-ray Science Division, Argonne National Laboratory, Lemont, Illinois 60439, United States
2 shared publications Andrew J. Wiesner
1 shared publication
Latest Publications
- 3 September 2020
- Published by American Society for Engineering Education
- p. 10.1468.1-10.1468.9
What Online Quizzing Can Tell Us About Our Students
What Online Quizzing Can Tell Us About Our Students Jonathan P. Mathews*, Sarma V. Pisupati*, and Andrew Wiesner± *Energy and Geo-Environmental Engineering Department and John A. Dutton e-Education Institute College of Earth & Mineral Sciences ± Schreyer Institute for Teaching Excellence The Pennsylvania State University University Park, PA 16802 jmathews@psu.edu | spisupati@psu.edu | ajw13@psu.edu Abstract Computer based quiz and exam results from a large enrollment general education class were analyzed to determine what an in-depth analysis of the quizzing data could tell us about our students. Analysis of variance methods were implemented to study the effects of gender, grade point average, and class standing on overall test performance as well as the multiple choice and short answer sections of the tests. The effects these factors held on student quiz behavior in relation to their exam scores was also evaluated. Important considerations were given to behavioral differences based on gender and GPA. The “B” or better students were less likely to miss the weekly quiz (3%) than the lower GPA student (20%). Students were likely to at least match their incoming GPA with course grade in this general education course. Multiple comparisons for essay time determined that significant differences were present between the A, B and the C, D, F students, with the better performing students taking more time to complete this portion of the exam. Within these timed exams, there was no significant difference in quantity typed between the sexes, 752 words for males in comparison to 742 words (35 minute exam with instructions to answer 4 of the 6 questions.) Evaluating short answer essay questions against “multiple choice” scores within three timed exams indicated that 71.5%, 90.6%, and 77.2% of the students did better in the essay component in comparison to the multiple choice component for the 3 exams. For the “multiple choice” portion of the exam, surprisingly with 38 questions only14% male and 16% of the female students used >20 minutes in answering the questions. The average time required being 15 of the 25 available minutes. An analysis of the essay portion of the exam indicates that both genders submitted the exam after an average of 32 minutes, rather than utilize the full 35 minutes. Approximately 20% of the class, and each gender submitted the exam in less than 30 minutes. Most of the students were tenacious in obtaining the 100% score for the weekly quiz, despite the value being 1% of the grade. Hence, this approach was considered useful for a directed review of the material.
- 3 September 2020
- Published by American Society for Engineering Education
- p. 10.1468.1-10.1468.9
What Online Quizzing Can Tell Us About Our Students
What Online Quizzing Can Tell Us About Our Students Jonathan P. Mathews*, Sarma V. Pisupati*, and Andrew Wiesner± *Energy and Geo-Environmental Engineering Department and John A. Dutton e-Education Institute College of Earth & Mineral Sciences ± Schreyer Institute for Teaching Excellence The Pennsylvania State University University Park, PA 16802 jmathews@psu.edu | spisupati@psu.edu | ajw13@psu.edu Abstract Computer based quiz and exam results from a large enrollment general education class were analyzed to determine what an in-depth analysis of the quizzing data could tell us about our students. Analysis of variance methods were implemented to study the effects of gender, grade point average, and class standing on overall test performance as well as the multiple choice and short answer sections of the tests. The effects these factors held on student quiz behavior in relation to their exam scores was also evaluated. Important considerations were given to behavioral differences based on gender and GPA. The “B” or better students were less likely to miss the weekly quiz (3%) than the lower GPA student (20%). Students were likely to at least match their incoming GPA with course grade in this general education course. Multiple comparisons for essay time determined that significant differences were present between the A, B and the C, D, F students, with the better performing students taking more time to complete this portion of the exam. Within these timed exams, there was no significant difference in quantity typed between the sexes, 752 words for males in comparison to 742 words (35 minute exam with instructions to answer 4 of the 6 questions.) Evaluating short answer essay questions against “multiple choice” scores within three timed exams indicated that 71.5%, 90.6%, and 77.2% of the students did better in the essay component in comparison to the multiple choice component for the 3 exams. For the “multiple choice” portion of the exam, surprisingly with 38 questions only14% male and 16% of the female students used >20 minutes in answering the questions. The average time required being 15 of the 25 available minutes. An analysis of the essay portion of the exam indicates that both genders submitted the exam after an average of 32 minutes, rather than utilize the full 35 minutes. Approximately 20% of the class, and each gender submitted the exam in less than 30 minutes. Most of the students were tenacious in obtaining the 100% score for the weekly quiz, despite the value being 1% of the grade. Hence, this approach was considered useful for a directed review of the material.
- 24 March 2016
- Published by American Chemical Society (ACS) in Energy & Fuels
- Vol. 30 (4) , 2694-2704
Quantifying Curvature in High-Resolution Transmission Electron Microscopy Lattice Fringe Micrographs of Coals
- 24 March 2016
- Published by American Chemical Society (ACS) in Energy & Fuels
- Vol. 30 (4) , 2694-2704
Quantifying Curvature in High-Resolution Transmission Electron Microscopy Lattice Fringe Micrographs of Coals
- 16 December 2015
- Published by American Chemical Society (ACS) in Energy & Fuels
- Vol. 30 (1) , 112-120
Constitution of Drop-Tube-Generated Coal Chars from Vitrinite- and Inertinite-Rich South African Coals
- 16 December 2015
- Published by American Chemical Society (ACS) in Energy & Fuels
- Vol. 30 (1) , 112-120
Constitution of Drop-Tube-Generated Coal Chars from Vitrinite- and Inertinite-Rich South African Coals
- 21 July 2015
- Published by American Chemical Society (ACS) in Energy & Fuels
- Vol. 29 (8) , 4814-4826
Construction Strategy for Atomistic Models of Coal Chars Capturing Stacking Diversity and Pore Size Distribution
- 21 July 2015
- Published by American Chemical Society (ACS) in Energy & Fuels
- Vol. 29 (8) , 4814-4826
Construction Strategy for Atomistic Models of Coal Chars Capturing Stacking Diversity and Pore Size Distribution
- 25 February 2015
- Published by American Chemical Society (ACS) in Energy & Fuels
- Vol. 29 (3) , 1279-1294
Interactions of Illinois No. 6 Bituminous Coal with Solvents: A Review of Solvent Swelling and Extraction Literature
- 25 February 2015
- Published by American Chemical Society (ACS) in Energy & Fuels
- Vol. 29 (3) , 1279-1294
Interactions of Illinois No. 6 Bituminous Coal with Solvents: A Review of Solvent Swelling and Extraction Literature
- 19 July 2012
- Published by American Chemical Society (ACS) in Energy & Fuels
- Vol. 26 (8) , 4946-4952
Novel Simplification Approach for Large-Scale Structural Models of Coal: Three-Dimensional Molecules to Two-Dimensional Lattices. Part 2: Visualization Capabilities
- 19 July 2012
- Published by American Chemical Society (ACS) in Energy & Fuels
- Vol. 26 (8) , 4946-4952
Novel Simplification Approach for Large-Scale Structural Models of Coal: Three-Dimensional Molecules to Two-Dimensional Lattices. Part 2: Visualization Capabilities
- 19 July 2012
- Published by American Chemical Society (ACS) in Energy & Fuels
- Vol. 26 (8) , 4938-4945
Novel Simplification Approach for Large-Scale Structural Models of Coal: Three-Dimensional Molecules to Two-Dimensional Lattices. Part 1: Lattice Creation
- 19 July 2012
- Published by American Chemical Society (ACS) in Energy & Fuels
- Vol. 26 (8) , 4938-4945
Novel Simplification Approach for Large-Scale Structural Models of Coal: Three-Dimensional Molecules to Two-Dimensional Lattices. Part 1: Lattice Creation
- 25 June 2012
- Published by American Chemical Society (ACS) in Energy & Fuels
- Vol. 26 (7) , 4336-4345
Fine Structure Evaluation of the Pair Distribution Function with Molecular Models of the Argonne Premium Coals
- 25 June 2012
- Published by American Chemical Society (ACS) in Energy & Fuels
- Vol. 26 (7) , 4336-4345
Fine Structure Evaluation of the Pair Distribution Function with Molecular Models of the Argonne Premium Coals