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1
Motivations Do Not Decrease Procrastination, So What Can We Do?
In: Departmental Technical Reports (CS) (2022)
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2
Why Menzerath's Law?
In: Departmental Technical Reports (CS) (2022)
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3
Just-In-Time Teaching Adds Motivation but Is Less Efficient
In: Departmental Technical Reports (CS) (2020)
Abstract: For each major, in addition to directly major-related topics, students also need to learn auxiliary topics –- e.g., math topics –- which are needed to understand more direct major-related ones. To learn these auxiliary topics, students are required to take some prerequisite math class. The problem is that when the students take these classes, they do not fully understand how these classes are related to their major. As a result, they often lack motivations, do not study well, and this hinders their performance in the follow-up major-related classes. One way to enhance the students' motivation is to use just-in-time teaching, when each part of the auxiliary material is taught exactly when the need for this part appears in a major-related course. This idea definitely increases the students' motivation, but is this the most efficient way to increase their motivation? In this paper, we use a simple mathematical model to show that the traditional approach is more efficient –- and thus, other ways of raising students' motivation are desirable.
Keyword: auxiliary vs major-related topics; Education; just-in-time teaching; student motivation; teaching effectiveness; Technical Reports; UTEP Computer Science Department
URL: https://scholarworks.utep.edu/cgi/viewcontent.cgi?article=2517&context=cs_techrep
https://scholarworks.utep.edu/cs_techrep/1510
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4
Lexicographic-Type Extension of Min-Max Logic Is Not Uniquely Determined
In: Departmental Technical Reports (CS) (2020)
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5
A Fully Lexicographic Extension of Min or Max Operation Cannot Be Associative
In: Departmental Technical Reports (CS) (2020)
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6
Why Bilingualism Helps Autistic Children Function: A Symmetry-Based Explanation
In: Departmental Technical Reports (CS) (2019)
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7
Emerging Bilinguals Future Teachers' Digital Behavior in Online Pre-Calculus Class: Mixed Methods Study
In: Departmental Technical Reports (CS) (2019)
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8
Psychological Behavior of English Learners Utilizing a Cognitive Tutor in an Online Pre-Calculus
In: Departmental Technical Reports (CS) (2018)
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9
Why Zipf's Law: A Symmetry-Based Explanation
In: Departmental Technical Reports (CS) (2018)
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10
Bayesian Approach to Intelligent Control and Its Relation to Fuzzy Control
In: Departmental Technical Reports (CS) (2016)
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11
Fuzzy Pareto Solution in Multi-criteria Group Decision Making with Intuitionistic Linguistic Preference Relation
In: Departmental Technical Reports (CS) (2016)
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12
From Numerical Probabilities to Linguistic Probabilities: A Theoretical Justification of Empirical Granules Used in Risk Management
In: Departmental Technical Reports (CS) (2014)
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13
Computing with Words: Towards a New Tuple-Based Formalization
In: Departmental Technical Reports (CS) (2013)
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14
Why 20? Why 40? A Possible Explanation of a Special Role of 20 and 40 in Traditional Number Systems
In: Departmental Technical Reports (CS) (2013)
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15
Dialect or a New Language: A Possible Explanation of the 70% Mutual Intelligibility Threshold
In: Departmental Technical Reports (CS) (2013)
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16
Ellipsoids and ellipsoid-shaped fuzzy sets as natural multi-variate generalization of intervals and fuzzy numbers: How to elicit them from users, and how to use them in data processing
In: Information sciences. - New York, NY : Elsevier Science Inc. 177 (2007) 2, 388
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17
Random Fuzzy Sets
In: Departmental Technical Reports (CS) (2007)
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18
Shadows Of Fuzzy Sets - a Natural Approach Towards Describing 2-D and Multi-D Fuzzy Uncertainty in Linguistic Terms
In: Departmental Technical Reports (CS) (2000)
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19
Fuzzy 'modus ponens' as a calculus of logical modifiers : towards Zadeh's vision of implication calculus
In: Information sciences. - New York, NY : Elsevier Science Inc. 116 (1999) 2-4, 219-227
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20
Fuzzy modus ponens as a calculus of logical modifiers: Towards Zadeh's vision of implication calculus
In: Information sciences. - New York, NY : Elsevier Science Inc. 116 (1999) 2-4, 219-228
OLC Linguistik
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