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Menekse, Muhsin – Journal of Experimental Education, 2020
This study addressed the role of the reflection-informed learning and instruction (RILI) model on students' academic success by using CourseMIRROR mobile system. We hypothesized that prompting students to reflect on confusing concepts stimulates their self-monitoring activities according to which students are expected to review their…
Descriptors: Reflection, Academic Achievement, Undergraduate Students, Instructional Effectiveness
Menekse, Muhsin – Grantee Submission, 2020
This study addressed the role of the reflection-informed learning and instruction (RILI) model on students' academic success by using CourseMIRROR mobile system. We hypothesized that prompting students to reflect on confusing concepts stimulates their self-monitoring activities according to which students are expected to review their…
Descriptors: Reflection, Academic Achievement, Undergraduate Students, Instructional Effectiveness
West, Jason – Curriculum Journal, 2017
Interdisciplinarity requires the collaboration of two or more disciplines to combine their expertise to jointly develop and deliver learning and teaching outcomes appropriate for a subject area. Curricula and assessment mapping are critical components to foster and enhance interdisciplinary learning environments. Emerging careers in data science…
Descriptors: Curriculum Development, Validity, Data Analysis, Interdisciplinary Approach
Davidovitch, Nitza; Eckhaus, Eyal – Higher Education Studies, 2018
This study deals with immigrant scientists integrated in academia in Israel. Studies on the subject indicate the contribution of immigrant scientists to research. The current study focuses on the influence of scientists' birth country on selecting destinations for academic conferences, as well as on the influence of one's native language on the…
Descriptors: Natural Language Processing, Foreign Countries, Immigrants, Scientists
Allen, Laura K.; McNamara, Danielle S. – International Educational Data Mining Society, 2015
The current study investigates the degree to which the lexical properties of students' essays can inform stealth assessments of their vocabulary knowledge. In particular, we used indices calculated with the natural language processing tool, TAALES, to predict students' performance on a measure of vocabulary knowledge. To this end, two corpora were…
Descriptors: Vocabulary, Knowledge Level, Models, Natural Language Processing
Eckhaus, Eyal; Davidovitch, Nitza – International Journal of Educational Methodology, 2018
This pilot study focuses on the impact of academic conferences from a gender-based perspective. What motivates faculty members to attend conferences? Which conferences do they choose? Can differences be found between men and women in their attitude to the effect of the conference and its contribution to their academic work, in light of many…
Descriptors: Natural Language Processing, Conferences (Gatherings), Preferences, Gender Differences
Heilman, Michael; Breyer, F. Jay; Williams, Frank; Klieger, David; Flor, Michael – ETS Research Report Series, 2015
Graduate school recommendations are an important part of admissions in higher education, and natural language processing may be able to provide objective and consistent analyses of recommendation texts to complement readings by faculty and admissions staff. However, these sorts of high-stakes, personal recommendations are different from the…
Descriptors: Natural Language Processing, College Admission, Admission Criteria, Referral
Kyle, Kristopher; Crossley, Scott A.; McNamara, Danielle S. – Language Testing, 2016
This study explores the construct validity of speaking tasks included in the TOEFL iBT (e.g., integrated and independent speaking tasks). Specifically, advanced natural language processing (NLP) tools, MANOVA difference statistics, and discriminant function analyses (DFA) are used to assess the degree to which and in what ways responses to these…
Descriptors: Construct Validity, Natural Language Processing, Speech Skills, Speech Acts
Liu, Ming; Calvo, Rafael A.; Rus, Vasile – Educational Technology & Society, 2014
Critical review skill is one important aspect of academic writing. Generic trigger questions have been widely used to support this activity. When students have a concrete topic in mind, trigger questions are less effective if they are too general. This article presents a learning-to-rank based system which automatically generates specific trigger…
Descriptors: Electronic Learning, Natural Language Processing, Questioning Techniques, Classification
Riddle, Travis; Bhagavatula, Sowmya Sree; Guo, Weiwei; Muresan, Smaranda; Cohen, Geoff; Cook, Jonathan E.; Purdie-Vaughns, Valerie – International Educational Data Mining Society, 2015
Social identity threat refers to the process through which an individual underperforms in some domain due to their concern with confirming a negative stereotype held about their group. Psychological research has identified this as one contributor to the underperformance and underrepresentation of women, Blacks, and Latinos in STEM fields. Over the…
Descriptors: Intervention, Self Concept, Essays, Gender Bias
Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides
Ezen-Can, Aysu; Boyer, Kristy Elizabeth – Journal of Educational Data Mining, 2015
Within the landscape of educational data, textual natural language is an increasingly vast source of learning-centered interactions. In natural language dialogue, student contributions hold important information about knowledge and goals. Automatically modeling the dialogue act of these student utterances is crucial for scaling natural language…
Descriptors: Classification, Dialogs (Language), Computational Linguistics, Information Retrieval
Chukharev-Hudilainen, Evgeny; Saricaoglu, Aysel – Computer Assisted Language Learning, 2016
Expressing causal relations plays a central role in academic writing. While it is important that writing instructors assess and provide feedback on learners' causal discourse, it could be a very time-consuming task. In this respect, automated writing evaluation (AWE) tools may be helpful. However, to date, there have been no AWE tools capable of…
Descriptors: Discourse Analysis, Feedback (Response), Undergraduate Students, Accuracy
Liu, Ming; Calvo, R. A.; Aditomo, A.; Pizzato, L. A. – IEEE Transactions on Learning Technologies, 2012
In this paper, we present a novel approach for semiautomatic question generation to support academic writing. Our system first extracts key phrases from students' literature review papers. Each key phrase is matched with a Wikipedia article and classified into one of five abstract concept categories: Research Field, Technology, System, Term, and…
Descriptors: Foreign Countries, Computer Assisted Instruction, Web 2.0 Technologies, Automation
Knight, Allan; Almeroth, Kevin – Journal of Interactive Learning Research, 2011
As part of the research carried out at the University of California, Santa Barbara's Center for Information Technology and Society (CITS), the Paper Authentication and Integrity Research (PAIR) project was launched. We began by investigating how one recent technology affected student learning outcomes. One aspect of this research was to study the…
Descriptors: Plagiarism, Student Attitudes, Form Classes (Languages), Researchers
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