Publication Date
| In 2026 | 0 |
| Since 2025 | 15 |
| Since 2022 (last 5 years) | 58 |
| Since 2017 (last 10 years) | 124 |
| Since 2007 (last 20 years) | 185 |
Descriptor
Source
Author
| Cataloglu, Erdat | 2 |
| Guo, Sijia | 2 |
| Hulls, Carol C. W. | 2 |
| McMaster, Kirby | 2 |
| Rague, Brian | 2 |
| Rennick, Christopher | 2 |
| Sambasivam, Samuel | 2 |
| Urban-Lurain, Mark | 2 |
| Zhongzhou Chen | 2 |
| Acharya, Anal | 1 |
| Adam A. Aguiar | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 205 |
| Journal Articles | 183 |
| Tests/Questionnaires | 20 |
| Speeches/Meeting Papers | 16 |
| Dissertations/Theses -… | 1 |
| Information Analyses | 1 |
| Translations | 1 |
Education Level
| Higher Education | 169 |
| Postsecondary Education | 140 |
| Two Year Colleges | 4 |
| High Schools | 3 |
| Elementary Education | 2 |
| Secondary Education | 2 |
| Adult Education | 1 |
Audience
| Teachers | 2 |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
| Force Concept Inventory | 1 |
| Learning Style Inventory | 1 |
| Motivated Strategies for… | 1 |
What Works Clearinghouse Rating
Virginia M. Tucker; Christina Perucci – Journal of Education for Library and Information Science, 2025
With almost all MLIS and similar degree programs having a required course covering database design, it is critical to develop curriculum that engages students in learning essential concepts and how to implement designs. We report on a project that explored how essential knowledge about database design can be taught effectively through experiential…
Descriptors: Masters Programs, Library Education, Experiential Learning, Database Design
Silva, Leonardo; Mendes, Antonio Jose; Gomes, Anabela; Fortes, Gabriel – IEEE Transactions on Education, 2023
Contribution: Students' problem-understanding abilities and their relationship with programming learning were investigated using a methodology little explored in the existing literature. Background: Problem comprehension is an ability used during software development. Current research points to conflicting results on students' ability to interpret…
Descriptors: Programming, Comprehension, Computer Software, Electronic Learning
Han Wan; Hongzhen Luo; Mengying Li; Xiaoyan Luo – IEEE Transactions on Learning Technologies, 2024
Automatic program repair (APR) tools are valuable for students to assist them with debugging tasks since program repair captures the code modification to make a buggy program pass the given test-suite. However, the process of manually generating catalogs of code modifications is intricate and time-consuming. This article proposes contextual error…
Descriptors: Programming, Computer Science Education, Introductory Courses, Assignments
Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
Rebecka Weegar; Peter Idestam-Almquist – International Journal of Artificial Intelligence in Education, 2024
Machine learning methods can be used to reduce the manual workload in exam grading, making it possible for teachers to spend more time on other tasks. However, when it comes to grading exams, fully eliminating manual work is not yet possible even with very accurate automated grading, as any grading mistakes could have significant consequences for…
Descriptors: Grading, Computer Assisted Testing, Introductory Courses, Computer Science Education
Elizabeth L. Wetzler; Kenneth S. Cassidy; Margaret J. Jones; Chelsea R. Frazier; Nickalous A. Korbut; Chelsea M. Sims; Shari S. Bowen; Michael Wood – Teaching of Psychology, 2025
Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…
Descriptors: Essays, Writing Evaluation, Scores, Evaluators
Disa Cornish; Zak Larter – Journal of Educational Technology Systems, 2024
ChatGPT and AI programs are creating a stir on college campuses nationwide. Concerns about cheating are strong and many instructors are adopting new teaching strategies to dissuade students from using the technology in assignments. In the present study, undergraduate students in an introductory epidemiology course were assigned to use ChatGPT to…
Descriptors: Artificial Intelligence, Student Attitudes, Synchronous Communication, Computer Software
Adam A. Aguiar; Jennifer Calabrese – Discover Education, 2025
This research aimed to examine the effectiveness of traditional lectures versus active lectures in introductory college biology classes composed of science and non-science majors, a topic of significant importance in the field of education. In a traditional lecture, the researcher used PowerPoint to present class content while answering direct…
Descriptors: Introductory Courses, Biology, Science Instruction, Cooperative Learning
Cockrell, Susan R.; Harrison, Brandon M. Di Paolo; Davidson, Lesley; Brown, Pennye; Thayer, Jennifer; Meyer, Pamela Sharp – Journal of Instructional Pedagogies, 2022
This paper examines the use of Monopoly® accompanied by Microsoft Excel to assess whether an active learning activity has an impact on the DFW rates in an introductory financial accounting course. (The DFW rate is the percentage of students who earn a grade of D or F or withdraw (W) from the course.) A zero credit hour Monopoly® Lab (which…
Descriptors: Introductory Courses, Accounting, Game Based Learning, Computer Software
Tanya Higgins; Ed Dudley; Owen Bodger; Phil Newton; Nigel Francis – Biochemistry and Molecular Biology Education, 2024
Retrieval practice is an evidence-based approach to teaching; here, we evaluate the use of PeerWise for embedding retrieval practice into summative assessment. PeerWise allows anonymous authoring, sharing, answering, rating, and feedback on peer-authored multiple choice questions. PeerWise was embedded as a summative assessment in a large…
Descriptors: Information Retrieval, Undergraduate Study, Introductory Courses, Biochemistry
Esmail Mohebbi – Decision Sciences Journal of Innovative Education, 2025
Microsoft Excel and Access are widely used in introductory courses designed to teach the fundamentals of spreadsheet and relational database modeling skills in various disciplines. To achieve the targeted learning outcomes, instructors of these courses strive to provide students with guided, frequent, and incrementally fruitful practice with the…
Descriptors: Teaching Methods, Instructional Effectiveness, Spreadsheets, Computer Simulation
Ethan C. Campbell; Katy M. Christensen; Mikelle Nuwer; Amrita Ahuja; Owen Boram; Junzhe Liu; Reese Miller; Isabelle Osuna; Stephen C. Riser – Journal of Geoscience Education, 2025
Scientific programming has become increasingly essential for manipulating, visualizing, and interpreting the large volumes of data acquired in earth science research. Yet few discipline-specific instructional approaches have been documented and assessed for their effectiveness in equipping geoscience undergraduate students with coding skills. Here…
Descriptors: Earth Science, Undergraduate Students, Programming Languages, Computer Software
Sarah L. Rodriguez; Amanda Ross – Computer Science Education, 2025
Background and Context: Hispanic-serving community colleges represent promising sites for broadening participation and enhancing computing interests around AI. Objectives: This study investigated how students enrolled in an introductory AI computing course at an HSCC made meaning of their course experiences and how they described their interest in…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Technology Integration
Vogeler, Heidi A.; Plummer, Kenneth J.; Fischer, Lane; Plummer, Ashton L. – Educational Research: Theory and Practice, 2022
Pedagogical methods for graduate-level statistics courses have rarely focused on the pursuit of conditional knowledge or the ability to choose which concepts/procedures are relevant given a specific research situation. However, utilization of an innovative approach called decision-based learning (DBL) not only provides students with the…
Descriptors: Statistics, Graduate Study, Decision Making, Word Problems (Mathematics)
Ernst Bekkering – Information Systems Education Journal, 2025
Undergraduate research can stimulate students' interest, especially in STEM disciplines. This research can be formally offered in different formats such as Undergraduate Research Experiences (UREs). One of these is Course-based Undergraduate Research Experiences (CUREs), which are offered as an integral part of scheduled courses. CUREs have been…
Descriptors: Undergraduate Students, Research Training, Computer Science Education, Student Interests

Peer reviewed
Direct link
