Teaching Machines

By H. Kay. 1961

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In Human-Computer Interaction

Citations in the corpus

ReasoNet: Learning to Stop Reading in Machine Comprehension (2016, methodology): “We compare ReasoNets with a two layer deep LSTM model [7] with 128 hidden units, denoted as “ Deep LSTM Reader ”, as a baseline.”
Comprehensive School Reform and Achievement: A Meta-Analysis (2003, background): “Prentky, R. A. (1994). Teaching machines. in R.J. Corsini, & E.J. Lieberman (Reviewers), Concise encyclopedia of psychology (2nd ed., Vol. 3). New York: Wiley. Prout, H. T., Marcal, S. D., & Marcal, D. C. (1992). A meta-analysis of selfreported personality characteristics of children and adolescents”
Effectiveness of Intelligent Tutoring Systems (2016, background): “Method Glass, McGaw, and Smith (1981) identified four steps in a meta-analysis: (a) finding studies, (b) coding study features, (c) measuring study effects, and (d) statistically analyzing and combining findings.”
A history of instructional design and technology: Part II: A history of instructional design (2001, background): “In this article and later ones (e.g., Skinner ,1958), Skinner described his ideas regarding the requirements for increasing human learning and the desired characteristics of effective instructional materials.”
A Historical Perspective on Validity Arguments for Accountability Testing (2005, background): “Early teaching machines were intended as adjuncts to teaching, but Skinner developed the notion of machines that could offer instruction with little human intervention (Gotkin & McSweeney, 1967; Skinner, 1960).”
Block Pruning For Faster Transformers (2021, background): “1 Ra-jpurkar et al., 2016) and (SQuAD v2 Rajpurkar et al., 2018), natural language inference (MNLI Williams et al., 2018), sentence similarity (QQP Chen et al., 2018), sentiment classiﬁcation (SST-2 Socher et al., 2013) and abstractive summarization (CNN/DailyMail Hermann et al., 2015).”
Feedback research revisited. (2004, background): “According to Smith and Ragan’s (1993) suggestions, initial feedback may be in the form of hints or guiding questions.”
The Role of Feedback During Academic Testing: The Delay Retention Effect Revisited (2003, background): “The IF AT embodies the theoretical and practical foundations of the teachingtesting machines described by Pressey (1926) and Skinner (1958), and transform the passive gatherer of information into the active demonstrator of skills and knowledge.”
A randomized controlled trial of interleaved mathematics practice. (2019, unknown): “…practice might benefit learning by reducing the number of students’ errors, and, by the rationale underlying the strategy known as errorless learning, errors might impede learning by strengthening the association between a certain kind of problem and the incorrect solution (e.g., Skinner, 1958).”
Provision of Feedback During Preparation For Academic Testing: Learning Is Enhanced by Immediate But Not Delayed Feedback (2004, background): “Discussion As stated earlier, teaching-testing machines introduced by Pressey (1926) and Skinner (1958) transformed the role of the student from a passive receiver of information to an active demonstrator of skills and knowledge.”