NLP-based error analysis and dynamic motivation techniques in mobile learning

AbstractA widely used tool in studying quasi-monoperiodic processes is the O–C diagram. This paper deals with the application of this diagram in minor planet studies. The main difference between our approach and the classical O–C diagram is that we transform the epoch (=time) dependence into the geocentric longitude domain. We outline a rotation modelling using this modified O–C and illustrate the abilities with detailed error analysis. The primary assumption, that the monotonity and the shape of this diagram is (almost) independent of the geometry of the asteroids is discussed and tested. The monotonity enables an unambiguous distinction between the prograde and retrograde rotation, thus the four-fold (or in some cases the two-fold) ambiguities can be avoided. This turned out to be the main advantage of the O–C examination. As an extension to the theoretical work, we present some preliminary results on 1727 Mette based on new CCD observations.

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Error Analysis in Neuropsychological Assessment of Verbal Memory and Learning

European Journal of Psychological Assessment ◽

10.1027/1015-5759.11.1.21 ◽

1995 ◽

Vol 11 (1) ◽

pp. 21-28 ◽

Cited By ~ 5

Author(s):

Dietmar Heubrock

Keyword(s):

Error Analysis ◽

Verbal Memory ◽

Verbal Learning ◽

Learning Disorders ◽

Memory And Learning ◽

Auditory Verbal Learning Test ◽

Additional Information ◽

Auditory Verbal Learning ◽

Accurate Picture ◽

Learning Test

Performance on a German version of the Rey Auditory-Verbal Learning Test (AVLT) was investigated for 64 juvenile patients who were subdivided in 6 clinical groups. In addition to standard evaluation of AVLT protocols which is usually confined to items recalled correctly, an error analysis was performed. Differentiating between total errors (TE), repetition errors (RE), and misnamings (ME), substantial differences between clinical groups could be demonstrated. It is argued that error analysis of verbal memory and learning enriches the understanding of neuropsychological syndromes, and provides additional information for diagnostic and clinical use. Thus, it is possible to gain a more accurate picture so that patients can be appropriately retrained, and research into the functional causes of memory and learning disorders can be intensified.

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A Survey of Game Based Mobile Learning: The Impact of Motion Sensing Technologies on eLearning

PsycEXTRA Dataset ◽

10.1037/e518122013-009 ◽

2012 ◽

Author(s):

Afrouz Rezaei ◽

Geoff Skinner

Keyword(s):

Mobile Learning ◽

Motion Sensing ◽

The Impact

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Reduced model error analysis “application to synchronous machines"

Journal de Physique III ◽

10.1051/jp3:1994253 ◽

1994 ◽

Vol 4 (10) ◽

pp. 1999-2012 ◽

Cited By ~ 1

Author(s):

Nabil Derbel ◽

Mohamed B.A. Kamoun ◽

Michel Poloujadoff

Keyword(s):

Error Analysis ◽

Model Error ◽

Synchronous Machines ◽

Reduced Model ◽

Analysis Application

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PERANCANGAN SISTEM PEMBELAJARAN MOBILE (M-LEARNING) BERBASIS ANDROID PADA MATERI BANGUN DATAR DAN BANGUN RUANG

AIMS Jurnal Accounting Information System ◽

10.32627/aims.v1i2.16 ◽

2018 ◽

Vol 1 (2) ◽

pp. 1-17

Author(s):

Tedi Budiman

Keyword(s):

Mobile Learning ◽

Design Method ◽

Case Study Method ◽

Application Development ◽

Software Application ◽

Rapid Application Development ◽

User Design ◽

Design Software ◽

Application Programs

One example of the growing information technology today is mobile learning, mobile learning which refers to mobile technology as a learning medium. Mobile learning is learning that is unique for each student to access learning materials anywhere, anytime. Mobile learning is suitable as a model of learning for the students to make it easier to get an understanding of a given subject, such as math is pretty complicated and always using formulas.The design method that I use is the case study method, namely, learning, searching and collecting data related to the study. While the development of engineering design software application programs that will be used by the author is the method of Rapid Application Development (RAD), which consists of 4 stages: Requirements Planning Phase, User Design Phase, Construction Phase and Phase Cotuver.

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