In this study, we work towards a strategy to measure and enhance the quality of interactions in discussion forums at scale. We present a machine learning (ML) model which identifies the phase of cognitive presence exhibited by a student's post and suggest future applications of such a model to help online students develop higher-order thinking. We…

Automatic short-answer grading (ASAG) is a key component of intelligent tutoring systems. Deep learning is an advanced method to deal with recognizing textual entailment tasks in an end-to-end manner. However, deep learning methods for ASAG still remain challenging mainly because of the following two major reasons: (1) high-precision scoring…

The quality assurance of MOOCs focuses on improving their pedagogical quality. However, the tools that allow reflection on and assistance regarding the pedagogical aspects of MOOCs are limited. The pedagogical classification of MOOCs is a difficult task, given the variability of MOOCs' content, structure, and designs. Pedagogical researchers have…

Precision education is a new challenge in leveraging artificial intelligence, machine learning, and learning analytics to enhance teaching quality and learning performance. To facilitate precision education, text marking skills can be used to determine students' learning process. Text marking is an essential learning skill in reading. In this…

Radical-right campaigns commonly employ three discursive elements: anti-elite populism, exclusionary and declinist nationalism, and authoritarianism. Recent scholarship has explored whether these frames have diffused from radical-right to centrist parties in the latter's effort to compete for the former's voters. This study instead investigates…

This article provides computational and rule-based approaches for detecting confusion that is expressed in students' comments in couse forums. To obtain reliable, ground truth data about which posts exhibit student confusion, we designed a decision tree that facilitates the manual labeling of forum posts by experts. However, manual labeling is…

In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…

In this study, it is aimed to reveal students' attitudes and views on a micro-lesson design application in accordance with the DDD-E model in which the Problem Based Learning (PBL) approach is integrated. In the study, a micro-level instructional design that addressed the outcomes of the subject "Four Arithmetic Operations in Decimals"…

In our everyday life, we often need to anticipate the potential occurrence of events and their consequences. In this context, the way we represent contingencies can determine our ability to adapt to the environment. However, it is not clear how agents encode and organize available knowledge about the future to react to possible states of the…

Social presence is an essential construct of the well-known Community of Inquiry (CoI) model, which is created to support design, facilitation, and analysis of asynchronous online discussions. Social presence focuses on the extent to which participants of online discussions can see each other as "real persons" in computer-mediated…

Every sound is made up of pitch, intensity and length (P, I and L). These universal parameters work together to give a sound its sensation. This paper presents a case of using P, I and L, and a hypothetical measure, "S[subscript c]" ("Stress Composite"), to appraise the effect of prosodic training. The main question this paper…

This study aimed to compare the High School English Curriculum (HSEC) in accordance with Stufflebeam's context, input, process and product (CIPP) model through multi-analysis. The research includes both quantitative and qualitative aspects. A descriptive analysis was operated through Rasch Measurement Model; SPSS program for the quantitative…

Recent studies in the field of intonational phonology have shown that information-seeking questions can be distinguished from confirmation-seeking questions by prosodic means in a variety of languages (Armstrong, 2010, for Puerto Rican Spanish; Grice & Savino, 1997, for Bari Italian; Kugler, 2003, for Leipzig German; Mata & Santos, 2010, for…

There are many purposes for using language which determine how the writer or speaker chooses words, syntactic expressions and figurative language. This is as a result of the fact that language has a very powerful effect over people, their actions and thoughts. This is seen in the use of language in various discourse types which include…

The forms of words as they appear in text and speech are central to theories and models of lexical processing. Nonetheless, current methods for simulating their learning and representation fail to approach the scale and heterogeneity of real wordform lexicons. A connectionist architecture termed the "sequence encoder" is used to learn…