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Assessed by Machines: Development of a TAM-Based Tool to Measure AI-based Assessment Acceptance Among Students.

, , , and . Int. J. Interact. Multim. Artif. Intell., 6 (4): 80-86 (2020)

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MLearning and pre-service teachers: An assessment of the behavioral intention using an expanded TAM model., , and . Comput. Hum. Behav., (2017)Proposing a Machine Learning Approach to Analyze and Predict Employment and its Factors., , , , , and . Int. J. Interact. Multim. Artif. Intell., 5 (2): 39-45 (2018)Challenges in Evaluation in Education and Guidance: A Perspective from 2020., , , , and . TEEM, page 770-774. ACM, (2020)Assessment of the social skills self-perceived by secondary education teachers for their professional development., , , and . TEEM, page 513-518. ACM, (2014)Mobile learning: tendencies and lines of research., , and . TEEM, page 473-480. ACM, (2013)Mobile Acceptance and Learning Beliefs: A Cross-Cultural Assessment Between China and Spain., , , , and . TEEM, page 228-234. ACM, (2018)Enabling Adaptability in Web Forms Based on User Characteristics Detection Through A/B Testing and Machine Learning., , , , , and . IEEE Access, (2018)AI-Driven Assessment of Students: Current Uses and Research Trends., , , , and . HCI (25), volume 12205 of Lecture Notes in Computer Science, page 292-302. Springer, (2020)Mobile learning adoption from informal into formal: an extended TAM model to measure mobile acceptance among teachers., , and . TEEM, page 595-602. ACM, (2014)Mobile acceptance among pre-service teachers: a descriptive study using a TAM-based model., , and . TEEM, page 131-137. ACM, (2015)