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Li Hu; Yulu Chen; Lisi Chen – Education and Information Technologies, 2025
With the continuous development of higher education, the evaluation of college students' learning has received increasing attention. Understanding the impact of the multiple evaluation system on college students' sense of English learning acquisition is of great significance. It helps educators to better design teaching activities and evaluation…
Descriptors: College Students, Student Attitudes, Academic Achievement, Student Evaluation
Bryan C. Tyner; Steven D. Floumanhaft; Ramon Marin; Daniel M. Fienup – Journal of Applied Behavior Analysis, 2024
Little research has examined specific instructional variables that influence the development and effectiveness of task-analysis instruction. We conducted two experiments using text-based task analyses to teach college students to create single-subject reversal design graphs. In Experiment 1, we tested the effects of presenting antecedent and…
Descriptors: College Students, Instructional Design, Instructional Effectiveness, Teaching Methods
Lathifaturrahmah Lathifaturahmah; Toto Nusantara; Subanji Subanji; Makbul Muksar – Mathematics Teaching Research Journal, 2024
The capacity to generate prediction is indispensable in daily existence, particularly amidst the swift transformations that are occurring on a global scale. Therefore, this study aimed to analyze the levels of prediction ability among mathematics students when presented with data in graphs. A qualitative approach was adopted, involving 37…
Descriptors: Mathematics Instruction, Mathematics Skills, Prediction, COVID-19
Zheng, Lanqin; Niu, Jiayu; Long, Miaolang; Fan, Yunchao – British Journal of Educational Technology, 2023
Computer-supported collaborative learning (CSCL) has been an effective pedagogy in the field of education. However, productive collaborative learning often does not occur spontaneously, and learners often have difficulties with collaborative knowledge building and socially shared regulation. To address this research gap, this study proposes an…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Graphs, College Students
Sauerheber, Richard; Muñoz, Brandon; McCallum, Kalvin – International Journal of Mathematical Education in Science and Technology, 2021
Graphical analysis of the relationships between pairs of integrals and their corresponding derivatives resulted in the development of a procedure one may describe as 'pictorial integration'. The arctangent of the derivative of various functions was analysed to confirm that this accurately reports the magnitude of angles made by integral functions…
Descriptors: Calculus, Mathematics Instruction, Pictorial Stimuli, Graphs
Drimalla, James; Tyburski, Brady A.; Byerley, Cameron; Boyce, Steven; Grabhorn, Jeffrey; Roman, Christopher Orlando; Moore, Kevin C. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
We reflect on the limitations of our research group's prior methods for assessing covariational reasoning which primarily used graphical tasks found in extant literature. Graphical tasks dominate the literature on covariational reasoning, and through our use of these tasks we came to question the heavy reliance on them. Our concerns led us to ask…
Descriptors: Mathematical Logic, Graphs, Evaluation Methods, Calculus
Cynthia Bansak; Julie K. Smith; Christine L. Storrie – Journal of Economic Education, 2025
The authors of this article describe three student-driven learning modules developed from their respective College Fed Challenge courses. These activities are ready-to-apply in a wide range of courses to facilitate adoption without a large time commitment. In the "Pick a Policy Maker" module, students gain an understanding of the…
Descriptors: Macroeconomics, Economics Education, Teamwork, Graphs
Karimi, Hamid; Derr, Tyler; Huang, Jiangtao; Tang, Jiliang – International Educational Data Mining Society, 2020
Online learning has attracted a large number of participants and is increasingly becoming very popular. However, the completion rates for online learning are notoriously low. Further, unlike traditional education systems, teachers, if any, are unable to comprehensively evaluate the learning gain of each student through the online learning…
Descriptors: Online Courses, Academic Achievement, Prediction, Teaching Methods
Giulia Polverini; Jakob Melin; Elias Önerud; Bor Gregorcic – Physical Review Physics Education Research, 2025
[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] Artificial intelligence-based chatbots are increasingly influencing physics education because of their ability to interpret and respond to textual and visual inputs. This study evaluates the performance of two large…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Physics
Liyanage, Dilhara; Lo, Stanley M.; Hunnicutt, Sally S. – Chemistry Education Research and Practice, 2021
A novel methodology has been developed to capture student interactions and engagement modes by mapping their discourse in Process Oriented Guided Inquiry Learning (POGIL) physical chemistry courses using graph theory and a modified ICAP ("Interactive," "Constructive," "Active," "Passive") framework. This…
Descriptors: Science Instruction, Chemistry, Inquiry, Teaching Methods
Charlotte A. Bolch; Tim Jacobbe – Numeracy, 2019
Statistical literacy refers to two interrelated components: people's ability to interpret and critically evaluate statistical information, and their ability to discuss or communicate their reactions to statistical information. The ability to read and interpret graphical displays is part of statistical literacy because much of the statistical…
Descriptors: Visual Aids, Data Analysis, Statistics Education, Introductory Courses
Bruder, Andrea; Kohler, Brynja R. – PRIMUS, 2020
Although modeling is an integral process in applied mathematics, students rarely encounter modeling opportunities in their calculus courses. We introduce a laboratory experience as a starting point for calculus students to investigate multivariable functions. A layered system of coffee and milk serves as a physical model for temperature gradients…
Descriptors: Calculus, Mathematics Instruction, Climate, Food
Ärlebäck, Jonas B.; Doerr, Helen M. – ZDM: The International Journal on Mathematics Education, 2018
In this article, we examine how a sequence of modeling activities supported the development of students' interpretations and reasoning about phenomena with negative average rates of change in different physical phenomena. Research has shown that creating and interpreting models of changing physical phenomena is difficult, even for university level…
Descriptors: Mathematical Models, College Students, Teaching Methods, Mathematical Concepts
Younggon Bae; Samuel L. Tunstall; Kathryn S. Knowles; Rebecca L. Matz – Numeracy, 2019
In this analysis, we examine how course assessment items were aligned with learning objectives in a quantitative literacy course at Michigan State University. The alignment analysis consisted of mapping assessment items to a list of operationalized learning objectives from the course. Our analysis shows how often the learning objectives are…
Descriptors: Alignment (Education), Educational Objectives, Statistics Education, Evaluation Methods
Irwin, John L.; Mehendale, Sunil – Engineering Design Graphics Journal, 2018
This paper is intended to investigate the merits of adding manipulative devices and solid model simulations to accompany traditional lecture and demonstration materials to a Dynamics course. Based on the successes of Graphics courses using manipulative devices and simulation software to enhance spatial visualization skills in engineering students,…
Descriptors: Engineering Education, Computer Simulation, Manipulative Materials, Concept Formation

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