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Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
Stephanie Fuchs; Alexandra Werth; Cristóbal Méndez; Jonathan Butcher – Journal of Engineering Education, 2025
Background: High-quality feedback is crucial for academic success, driving student motivation and engagement while research explores effective delivery and student interactions. Advances in artificial intelligence (AI), particularly natural language processing (NLP), offer innovative methods for analyzing complex qualitative data such as feedback…
Descriptors: Artificial Intelligence, Training, Data Analysis, Natural Language Processing
Oscar Karnalim – Informatics in Education, 2024
Programming students need to be informed about plagiarism and collusion. Hence, we developed an assessment submission system to remind students about the matter. Each submission will be compared to others and any similarities that do not seem a result of coincidence will be reported along with their possible reasons. The system also employs…
Descriptors: Programming, Integrity, Academic Achievement, Plagiarism
Anita Pásztor-Kovács; Attila Pásztor; Gyöngyvér Molnár – Interactive Learning Environments, 2023
In this paper, we present an agenda for the research directions we recommend in addressing the issues of realizing and evaluating communication in CPS instruments. We outline our ideas on potential ways to improve: (1) generalizability in Human-Human assessment tools and ecological validity in Human-Agent ones; (2) flexible and convenient use of…
Descriptors: Cooperation, Problem Solving, Evaluation Methods, Teamwork
Ling Wang; Shen Zhan – Education Research and Perspectives, 2024
Generative Artificial Intelligence (GenAI) is transforming education, with assessment design emerging as a crucial area of innovation, particularly in computer science (CS) education. Effective assessment is critical for evaluating student competencies and guiding learning processes, yet traditional practices face significant challenges in CS…
Descriptors: Artificial Intelligence, Computer Science Education, Technology Uses in Education, Student Evaluation
Rosenberg, Joshua M.; Krist, Christina – Journal of Science Education and Technology, 2021
Assessing students' participation in science practices presents several challenges, especially when aiming to differentiate meaningful (vs. rote) forms of participation. In this study, we sought to use machine learning (ML) for a novel purpose in science assessment: developing a construct map for students' "consideration of generality,"…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Models
Leigh Jin; Tai-Yin Chi; Brenda Mak – Journal of Information Systems Education, 2024
This paper presents the Screencast-Based Assessment Technique (SBAT) for a mobile app development curriculum in the information systems discipline. SBAT was implemented as a midterm take-home exam in which students design and develop an app project based on their own interests, passions, or ambitions. In addition to coding, students must create…
Descriptors: Technology Uses in Education, Computer Oriented Programs, Handheld Devices, Computer Software
Roslyn Arlin Mickelson; Ian Mikkelsen; Mohsen Dorodchi; Bojan Cukic; Caitlin Petro; Zelaya Al Ayeisha; Shakayla Alston; Anthony Teddy; Myat Win; Sandra Wiktor; Barry Sherman; Jeffrey Cook – School Community Journal, 2024
Students from underrepresented populations--females, working class, and youth from marginalized racial/ethnic groups--are less likely than their middle-class Asian and White male peers to study computer science (CS) in college. The dearth of CS undergraduates from these groups contributes to projected labor force shortages. Sources of the dilemma…
Descriptors: Middle School Students, Computer Science Education, Partnerships in Education, Minority Group Students
Violante, Maria Grazia; Moos, Sandro; Vezzetti, Enrico – European Journal of Engineering Education, 2020
This paper presents a learning outcomes-based methodology to produce a summative assessment to use in any course at any educational level. It takes into consideration the European Qualifications Framework (EQF) to define the learning outcomes, Bloom's taxonomy to define the assessment questions and the QR code to help managing large class size.…
Descriptors: Outcome Based Education, Educational Assessment, Formative Evaluation, Summative Evaluation
van der Mars, Hans; Timken, Gay; McNamee, Jeff – Physical Educator, 2018
Assessment is a central function of the teaching-learning cycle and a key performance standard for beginning and experienced teachers. Especially in today's school climate of high-stakes teacher evaluation, physical education will continue to be at risk unless programs can begin to provide evidence of student learning. The Systematic Observation…
Descriptors: Student Evaluation, Evaluation Methods, Observation, Physical Education Teachers
Phuong, Andrew Estrada; Nguyen, Judy; Marie, Dena – Journal of Effective Teaching, 2017
This study examines whether and how an adaptive equity-oriented pedagogy can address diverse college students' needs and preferred modes of learning. Using a mixed-methods approach, we evaluated this pedagogical intervention that synthesizes democratic, assessment-driven, strengths-based, multimodal, and game-based instructional strategies. This…
Descriptors: Equal Education, Teaching Methods, College Students, Student Needs
Richards, K. Andrew R.; Velasquez, Juan D. – Journal on Excellence in College Teaching, 2014
Constructivist approaches to education embrace students' prior learning experiences and preference for learning in social environments. However, many postsecondary classes continue to embrace lecture-styles of teaching. This study sought to understand first-year students' perceptions of the mistakes instructors make in large lecture classes.…
Descriptors: Student Attitudes, Lecture Method, Large Group Instruction, Learner Engagement
Johnson, Martin; Mehta, Sanjana; Rushton, Nicky – Pedagogies: An International Journal, 2015
A new "controlled assessment" model was introduced in England, Wales and Northern Ireland in 2009. This paper describes a research project that explores teachers' experiences of this new assessment model in General Certificate of Secondary Education (GCSE) level modern foreign language (MFL) speaking assessment. Focusing on teachers'…
Descriptors: Foreign Countries, Models, Evaluation Methods, Secondary School Teachers
Steinke, Pamela; Fitch, Peggy – Research & Practice in Assessment, 2017
Bias is part of the human condition and becoming aware of how to avoid bias will help to ensure greater accuracy in the work of assessment. In this paper the authors discuss three different theoretical frameworks that can be applied when assessing student work for cognitive skills such as critical thinking and problem solving. Each of the…
Descriptors: Student Evaluation, Cognitive Ability, Critical Thinking, Thinking Skills
Hamid, Suraya; Waycott, Jenny; Kurnia, Sherah; Chang, Shanton – Australasian Journal of Educational Technology, 2014
The use of Online Social Networking (OSN) educational activities has become commonplace in today's higher education. OSN enables lecturers and students to generate and share content, interact, and collaborate in the knowledge construction process. The pedagogical benefits of social technologies have been widely discussed. However, less is known…
Descriptors: Social Networks, Technology Uses in Education, Technology Integration, College Faculty

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