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Jisung Yoo; Moonyoung Eom – AERA Online Paper Repository, 2024
This paper aims to identify and compare key factors influencing US States' or an OECD country's decision to employ student test scores or test score value-added (VAM) in evaluating teacher effectiveness. Analysis using multiple linear probability model and logistic regression frameworks indicates that the use of VAM/student test scores was…
Descriptors: Teacher Evaluation, Teacher Effectiveness, Scores, Value Added Models
Victor K. Y. Chan – International Association for Development of the Information Society, 2023
This article intends to investigate the consistency between a few popular generative AI robots in the evaluation of massive open online course (MOOC) platforms. The four robots experimented with in the study were Claude+, GPT-4, Sage, and Dragonfly, which were tasked with awarding rating scores to the eight major dimensions, namely (1)…
Descriptors: MOOCs, Robotics, Scores, Learning Management Systems
Öncel, Püren; Flynn, Lauren E.; Sonia, Allison N.; Barker, Kennis E.; Lindsay, Grace C.; McClure, Caleb M.; McNamara, Danielle S.; Allen, Laura K. – Grantee Submission, 2021
Automated Writing Evaluation systems have been developed to help students improve their writing skills through the automated delivery of both summative and formative feedback. These systems have demonstrated strong potential in a variety of educational contexts; however, they remain limited in their personalization and scope. The purpose of the…
Descriptors: Computer Assisted Instruction, Writing Evaluation, Formative Evaluation, Summative Evaluation
Baral, Sami; Botelho, Anthony F.; Erickson, John A.; Benachamardi, Priyanka; Heffernan, Neil T. – International Educational Data Mining Society, 2021
Open-ended questions in mathematics are commonly used by teachers to monitor and assess students' deeper conceptual understanding of content. Student answers to these types of questions often exhibit a combination of language, drawn diagrams and tables, and mathematical formulas and expressions that supply teachers with insight into the processes…
Descriptors: Scoring, Automation, Mathematics Tests, Student Evaluation
Wesley Morris; Scott Crossley; Langdon Holmes; Chaohua Ou; Danielle McNamara; Mihai Dascalu – Grantee Submission, 2023
As intelligent textbooks become more ubiquitous in classrooms and educational settings, the need arises to automatically provide formative feedback to written responses provided by students in response to readings. This study develops models to automatically provide feedback to student summaries written at the end of intelligent textbook sections.…
Descriptors: Textbooks, Electronic Publishing, Feedback (Response), Formative Evaluation
McKenna, Peter – International Association for Development of the Information Society, 2018
Multiple Choice Questions come with the correct answer. Examinees have various reasons for selecting their answer, other than knowing it to be correct. Yet MCQs are common as summative assessments in the education of Computer Science and Information Systems students. To what extent can MCQs be answered correctly without knowing the answer; and can…
Descriptors: Multiple Choice Tests, Summative Evaluation, Student Evaluation, Evaluation Methods
Taghizadeh Kerman, Nafiseh; Banihashem, Seyyed Kazem; Noroozi, Omid – International Society for Technology, Education, and Science, 2022
In this article, we aim to explore the differences in the received peer feedback among successful, less successful, and unsuccessful students in higher education. This exploratory study was conducted in online settings and in the context of argumentative essay writing. In total, 135 undergraduate students participated in an online module and they…
Descriptors: Feedback (Response), Peer Evaluation, Essays, Persuasive Discourse
Liu, Chengyuan; Cui, Jialin; Shang, Ruixuan; Xiao, Yunkai; Jia, Qinjin; Gehringer, Edward – International Educational Data Mining Society, 2022
An online peer-assessment system typically allows students to give textual feedback to their peers, with the goal of helping the peers improve their work. The amount of help that students receive is highly dependent on the quality of the reviews. Previous studies have investigated using machine learning to detect characteristics of reviews (e.g.,…
Descriptors: Peer Evaluation, Feedback (Response), Computer Mediated Communication, Teaching Methods
Orr, J. Walker; Russell, Nathaniel – International Educational Data Mining Society, 2021
The assessment of program functionality can generally be accomplished with straight-forward unit tests. However, assessing the design quality of a program is a much more difficult and nuanced problem. Design quality is an important consideration since it affects the readability and maintainability of programs. Assessing design quality and giving…
Descriptors: Programming Languages, Feedback (Response), Units of Study, Computer Science Education
Sami Baral; Eamon Worden; Wen-Chiang Lim; Zhuang Luo; Christopher Santorelli; Ashish Gurung; Neil Heffernan – Grantee Submission, 2024
The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research have explored methodologies to enhance the effectiveness of feedback to students in various ways. Recent developments in Large Language Models (LLMs) have extended their utility in enhancing automated…
Descriptors: Automation, Scoring, Computer Assisted Testing, Natural Language Processing
Zhang, Haoran; Litman, Diane – Grantee Submission, 2021
Human essay grading is a laborious task that can consume much time and effort. Automated Essay Scoring (AES) has thus been proposed as a fast and effective solution to the problem of grading student writing at scale. However, because AES typically uses supervised machine learning, a human-graded essay corpus is still required to train the AES…
Descriptors: Essays, Grading, Writing Evaluation, Computational Linguistics
Olney, Andrew M. – Grantee Submission, 2021
Cloze items are commonly used for both assessing learning and as a learning activity. This paper investigates the selection of sentences for cloze item creation by comparing methods ranging from simple heuristics to deep learning summarization models. An evaluation using human-generated cloze items from three different science texts indicates that…
Descriptors: Sentences, Selection, Cloze Procedure, Heuristics
Kovalkov, Anastasia; Paassen, Benjamin; Segal, Avi; Gal, Kobi; Pinkwart, Niels – International Educational Data Mining Society, 2021
Promoting creativity is considered an important goal of education, but creativity is notoriously hard to define and measure. In this paper, we make the journey from defining a formal creativity and applying the measure in a practical domain. The measure relies on core theoretical concepts in creativity theory, namely fluency, flexibility, and…
Descriptors: Creativity, Theory Practice Relationship, Evaluators, Specialists
Marwan, Samiha; Shi, Yang; Menezes, Ian; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2021
Feedback on how students progress through completing subgoals can improve students' learning and motivation in programming. Detecting subgoal completion is a challenging task, and most learning environments do so either with "expert-authored" models or with "data-driven" models. Both models have advantages that are…
Descriptors: Expertise, Models, Feedback (Response), Identification
Tosun, Hasan – Online Submission, 2020
The university ranking systems have been utilized for academic performance of higher education system in the World since beginning of 2000's years. These systems, which considered the common parameters, have quickly followed with their own hierarchical measures by higher education organizations. However, these ranking systems never consider…
Descriptors: Foreign Countries, Evaluation Methods, Institutional Evaluation, State Universities