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Mahr, Tristan J.; Berisha, Visar; Kawabata, Kan; Liss, Julie; Hustad, Katherine C. – Journal of Speech, Language, and Hearing Research, 2021
Purpose: Acoustic measurement of speech sounds requires first segmenting the speech signal into relevant units (words, phones, etc.). Manual segmentation is cumbersome and time consuming. Forced-alignment algorithms automate this process by aligning a transcript and a speech sample. We compared the phoneme-level alignment performance of five…
Descriptors: Speech, Young Children, Automation, Phonemes
Dominguez, Federico; Ochoa, Xavier; Zambrano, Dick; Camacho, Katherine; Castells, Jaime – IEEE Transactions on Learning Technologies, 2021
Multimodal learning analytics, which is collection, analysis, and report of diverse learning traces to better understand and improve the learning process, has been producing a series of interesting prototypes to analyze learning activities that were previously hard to objectively evaluate. However, none of these prototypes have been taken out of…
Descriptors: Learning Modalities, Learning Analytics, Automation, Oral Language
Prakash, K. R.; Santhosh, M. S.; Purushothama, G. K.; Ramya, M. V. – International Journal of Web-Based Learning and Teaching Technologies, 2021
Practical learning methodologies have become the need of the hour in the education sector, in particular in engineering education, to achieve technical competencies and skills. Advancements in web-based learning strategies have evolved over the years, and technology has played a major role in creating e-learning resources, among which remote labs…
Descriptors: Internet, Laboratories, Engineering Education, Automation
Bidarra, Graça; Santos, Anália; Vaz-Rebelo, Piedade; Thiel, Oliver; Barreira, Carlos; Alferes, Valentim; Almeida, Joana; Machado, Inês; Bartoletti, Corinna; Ferrini, Francesca; Hanssen, Signe; Lundheim, Rolv; Moe, Jørgen; Josephson, Joel; Velkova, Veneta; Kostova, Nelly – Education Sciences, 2021
This work analyzes spontaneous cooperation between children who participated in Automata for STEM, European Union funded Erasmus+ project workshops. Taking into account the characteristics of automata, that involve a narrative part and a mechanism, the project used them to implement contextualized and interdisciplinary STEM activities. The…
Descriptors: STEM Education, Workshops, Children, Automation
Goldberg, Patricia; Sümer, Ömer; Stürmer, Kathleen; Wagner, Wolfgang; Göllner, Richard; Gerjets, Peter; Kasneci, Enkelejda; Trautwein, Ulrich – Educational Psychology Review, 2021
Teachers must be able to monitor students' behavior and identify valid cues in order to draw conclusions about students' actual engagement in learning activities. Teacher training can support (inexperienced) teachers in developing these skills by using videotaped teaching to highlight which indicators should be considered. However, this supposes…
Descriptors: Artificial Intelligence, Learner Engagement, Attention, Video Technology
Xu, Lingling; Wang, Shiyu; Cai, Yan; Tu, Dongbo – Journal of Educational Measurement, 2021
Designing a multidimensional adaptive test (M-MST) based on a multidimensional item response theory (MIRT) model is critical to make full use of the advantages of both MST and MIRT in implementing multidimensional assessments. This study proposed two types of automated test assembly (ATA) algorithms and one set of routing rules that can facilitate…
Descriptors: Item Response Theory, Adaptive Testing, Automation, Test Construction
Witzenberger, Kevin; Gulson, Kalervo N. – Learning, Media and Technology, 2021
Pre-emption describes a system of automated knowledge creation and intervention that steers the present towards a desirable future, by building on knowledge derived from the past. Folding together temporalities makes it impossible to disprove pre-emption. It is increasingly featured within EdTech, introducing new forms of automated governance into…
Descriptors: Educational Technology, Technology Uses in Education, Governance, Learning Analytics
Gao, Zhikai; Lynch, Collin; Heckman, Sarah; Barnes, Tiffany – International Educational Data Mining Society, 2021
As Computer Science has increased in popularity so too have class sizes and demands on faculty to provide support. It is therefore more important than ever for us to identify new ways to triage student questions, identify common problems, target students who need the most help, and better manage instructors' time. By analyzing interaction data…
Descriptors: Automation, Classification, Help Seeking, Computer Science Education
Doewes, Afrizal; Pechenizkiy, Mykola – International Educational Data Mining Society, 2021
Scoring essays is generally an exhausting and time-consuming task for teachers. Automated Essay Scoring (AES) facilitates the scoring process to be faster and more consistent. The most logical way to assess the performance of an automated scorer is by measuring the score agreement with the human raters. However, we provide empirical evidence that…
Descriptors: Man Machine Systems, Automation, Computer Assisted Testing, Scoring
Peter Serdyukov – Journal of Research in Innovative Teaching & Learning, 2021
Purpose: With the rapid transition of education from the traditional, classroom- or campus-based to the online format, there grows a need for not only taking advantage of online technology but also assessing actual and potential effects it can make on the learners, learning, education, and society. One of the risks inherent in online learning is…
Descriptors: Electronic Learning, Asynchronous Communication, Automation, Socialization
Kochmar, Ekaterina; Vu, Dung Do; Belfer, Robert; Gupta, Varun; Serban, Iulian Vlad; Pineau, Joelle – International Journal of Artificial Intelligence in Education, 2022
Intelligent tutoring systems (ITS) have been shown to be highly effective at promoting learning as compared to other computer-based instructional approaches. However, many ITS rely heavily on expert design and hand-crafted rules. This makes them difficult to build and transfer across domains and limits their potential efficacy. In this paper, we…
Descriptors: Intelligent Tutoring Systems, Automation, Feedback (Response), Dialogs (Language)
Morrison, Ryan – Online Submission, 2022
Large Language Models (LLM) -- powerful algorithms that can generate and transform text -- are set to disrupt language learning education and text-based assessments as they allow for automation of text that can meet certain outcomes of many traditional assessments such as essays. While there is no way to definitively identify text created by this…
Descriptors: Models, Mathematics, Automation, Natural Language Processing
Felipe Otálvaro – Journal of Chemical Education, 2022
The inclusion of the InChI or SMILES codes as a one-sentence answer allows web-based classroom response systems to provide instant feedback to some of the most typical drawing-based questions asked in organic chemistry courses. This paper discusses the implementation and scope of this strategy using smartphones as the only hardware requirement.
Descriptors: Organic Chemistry, Handheld Devices, Feedback (Response), Visual Aids
Lagstedt, Altti; Lindstedt, Juha P.; Kauppinen, Raine – Education and Information Technologies, 2020
Digitalization challenges the way in which business processes are seen. The potential for enhancement is even recognized in business areas that traditionally have little to do with IT. Even though universities have long-standing traditions of how work is organized, they have not been eager to adopt digitalized processes. Because core university…
Descriptors: Technology Integration, Universities, Information Technology, College Administration
Meholick, Sarah; Honey, Rose; LaTurner, Jason – National Center for Education Statistics, 2023
Statewide longitudinal data systems (SLDSs) can enable researchers, policymakers, and practitioners to identify and understand important relationships and trends across the education-to-workforce continuum. A well-developed SLDS can increase state and territory governments' ability to establish more informed and equitable policies, enable agency…
Descriptors: Longitudinal Studies, State Programs, State Policy, Data Collection

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