Toward the automated analysis of teacher talk in secondary ELA classrooms

2022 ◽  
Vol 110 ◽  
pp. 103584
Author(s):  
Meghan E. Dale ◽  
Amanda J. Godley ◽  
Sarah A. Capello ◽  
Patrick J. Donnelly ◽  
Sidney K. D'Mello ◽  
...  
Keyword(s):  
Automated Analysis ◽  
Teacher Talk

Applying Generalizability Theory to Optimize Analysis of Spontaneous Teacher Talk in Elementary Classrooms

2020 ◽  
Vol 63 (6) ◽  
pp. 1947-1957
Author(s):  
Alexandra Hollo ◽  
Johanna L. Staubitz ◽  
Jason C. Chow
Keyword(s):  
Special Education Teachers ◽  
Generalizability Theory ◽  
Child Outcomes ◽  
Elementary Classrooms ◽  
Teacher Talk ◽  
Group Instruction ◽  
Data Set ◽  
School Year ◽  
Minimum Number ◽  
Representative Samples

Purpose Although sampling teachers' child-directed speech in school settings is needed to understand the influence of linguistic input on child outcomes, empirical guidance for measurement procedures needed to obtain representative samples is lacking. To optimize resources needed to transcribe, code, and analyze classroom samples, this exploratory study assessed the minimum number and duration of samples needed for a reliable analysis of conventional and researcher-developed measures of teacher talk in elementary classrooms. Method This study applied fully crossed, Person (teacher) × Session (samples obtained on 3 separate occasions) generalizability studies to analyze an extant data set of three 10-min language samples provided by 28 general and special education teachers recorded during large-group instruction across the school year. Subsequently, a series of decision studies estimated of the number and duration of sessions needed to obtain the criterion g coefficient ( g > .70). Results The most stable variables were total number of words and mazes, requiring only a single 10-min sample, two 6-min samples, or three 3-min samples to reach criterion. No measured variables related to content or complexity were adequately stable regardless of number and duration of samples. Conclusions Generalizability studies confirmed that a large proportion of variance was attributable to individuals rather than the sampling occasion when analyzing the amount and fluency of spontaneous teacher talk. In general, conventionally reported outcomes were more stable than researcher-developed codes, which suggests some categories of teacher talk are more context dependent than others and thus require more intensive data collection to measure reliably.

Development and study of a method for cell separation during white blood cell segmentation on images of bone marrow preparations in information and measurement systems for diagnostics of acute leukemia

2020 ◽  
pp. 68-72
Author(s):  
V.G. Nikitaev ◽  
A.N. Pronichev ◽  
V.V. Dmitrieva ◽  
E.V. Polyakov ◽  
A.D. Samsonova ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Blood Cell ◽  
Acute Leukemia ◽  
White Blood Cell ◽  
Cell Separation ◽  
Large Scale ◽  
Bone Marrow Cells ◽  
Automated Analysis ◽  
Cell Segmentation ◽  
Measurement Systems

The issues of using of information and measurement systems based on processing of digital images of microscopic preparations for solving large-scale tasks of automating the diagnosis of acute leukemia are considered. The high density of leukocyte cells in the preparation (hypercellularity) is a feature of microscopic images of bone marrow preparations. It causes the proximity of cells to eachother and their contact with the formation of conglomerates. Measuring of the characteristics of bone marrow cells in such conditions leads to unacceptable errors (more than 50%). The work is devoted to segmentation of contiguous cells in images of bone marrow preparations. A method of cell separation during white blood cell segmentation on images of bone marrow preparations under conditions of hypercellularity of the preparation has been developed. The peculiarity of the proposed method is the use of an approach to segmentation of cell images based on the watershed method with markers. Key stages of the method: the formation of initial markers and builds the lines of watershed, a threshold binarization, shading inside the outline. The parameters of the separation of contiguous cells are determined. The experiment confirmed the effectiveness of the proposed method. The relative segmentation error was 5 %. The use of the proposed method in information and measurement systems of computer microscopy for automated analysis of bone marrow preparations will help to improve the accuracy of diagnosis of acute leukemia.

Teacher-student interaction and management practices in Pakistani English language classrooms

2019 ◽  
Vol 7 (3) ◽  
pp. 115-134
Author(s):  
Muhammad Ahmad ◽  
Aleem Shakir ◽  
Ali Raza Siddique
Keyword(s):  
Classroom Management ◽  
English Language ◽  
Management Practices ◽  
Wait Time ◽  
Student Interaction ◽  
Teacher Talk ◽  
Teacher Student ◽  
Language Classroom ◽  
Teacher Student Interaction ◽  
Language Classrooms

Abstract This study aimed to investigate the amount and type of teacher-talk, frequently asked questions and feedback provided by the teacher on learners’ performance in a language classroom. For this purpose, a lecture was recorded from a secondary level English language classroom of a public sector school and interpreted in the light of teacher-student interaction and classroom management model by David Nunan. Results revealed that the maximum amount of time (i.e. 80.1%) was consumed by the teacher which was appropriate. However, certain deviations from classroom management principles were also observed regarding frequently asked questions (i.e. 50% of the total questions were elicitation questions) and the feedback (it was ‘romantic’ in nature). Moreover, wait-time was sufficient but it was of no use to the learners. The study concluded that classroom practices did not conform to the principles therefore, it proposed to ask questions and provide feedback appropriately.

TECHNIQUE OF QUESTIONING CARRIED OUT BY NOVICE TEACHERS

2012 ◽  
Vol 1 (1) ◽  
Author(s):  
Sri Wahyuni Sri Wayuni
Keyword(s):  
Key Words ◽  
Novice Teachers ◽  
Teacher Talk ◽  
Teaching Activities ◽  
Low Level ◽  
Questioning Techniques ◽  
Recorded Data ◽  
Component Skill

Abstract: When teachers conduct a lesson, the activity of posing questions always appears in it. The activity of posing questions includes the skills of basic questioning and advanced questioning in which a teacher must acquire. The focus of the study is on the basic questioning techniques only. ?é?áThe purposes of this study are aimed at finding: 1) the basic questioning component skill used by the novice teachers in the classroom, 2) the types of question used by the novice teachers in the classroom, and 3) the levels of questioning category used by the novice teachers in the classroom. This discourse study was based on the analysis of the teacher talk in class. The analysis was based on the recorded data of the five novices when they conducted lessons in class. The recorded data were transcribed. From the transcriptions, teachers?óÔé¼Ôäó talk were identified and classified into types of questions, levels of questions, and basic questioning components. The findings of the study are: 1) novices used higher number of closed questions; 2) there were more low level questions conducted by novices; 3) the large number of the skill components in their teaching activities were the distributing, pausing and reacting. ?é?á Key Words: Novice Teachers, Technique of Questioning,

Software including the functions of automated analysis of electric power consumption in pipeline oil transportation

2011 ◽  
Vol 8 (1) ◽  
pp. 233-238
Author(s):  
R.M. Bogdanov ◽  
S.V. Lukin
Keyword(s):  
Power Consumption ◽  
Electric Power ◽  
Data Model ◽  
Automated Analysis ◽  
Petroleum Products ◽  
Electric Power Consumption ◽  
Scientific Center ◽  
Relational Data Model ◽  
Oil Transportation ◽  
Academy Of Sciences

Oil and petroleum products transportation is characterized by a significant cost of electric power. Correct oil and petroleum products accounting and forecasting requires knowledge of many factors. The software for norms of electric power consumption analysis for the planned period was developed at the Ufa Scientific Center of the Russian Academy of Sciences. Based on the principles of the relational data model, a schematic diagram/arrangement for the main oil transportation objects was developed, which allows to hold the initial data and calculated parameters in a structured manner.

Advances in the Prediction of Protein Subcellular Locations with Machine Learning

2019 ◽  
Vol 14 (5) ◽  
pp. 406-421 ◽  
Author(s):  
Ting-He Zhang ◽  
Shao-Wu Zhang
Keyword(s):  
Machine Learning ◽  
Feature Fusion ◽  
Protein Sequences ◽  
Subcellular Location ◽  
Automated Analysis ◽  
Cellular Level ◽  
Machine Learning Algorithms ◽  
Feature Representation ◽  
Protein Subcellular Location ◽  
Protein Subcellular Locations

Background: Revealing the subcellular location of a newly discovered protein can bring insight into their function and guide research at the cellular level. The experimental methods currently used to identify the protein subcellular locations are both time-consuming and expensive. Thus, it is highly desired to develop computational methods for efficiently and effectively identifying the protein subcellular locations. Especially, the rapidly increasing number of protein sequences entering the genome databases has called for the development of automated analysis methods. Methods: In this review, we will describe the recent advances in predicting the protein subcellular locations with machine learning from the following aspects: i) Protein subcellular location benchmark dataset construction, ii) Protein feature representation and feature descriptors, iii) Common machine learning algorithms, iv) Cross-validation test methods and assessment metrics, v) Web servers. Result & Conclusion: Concomitant with a large number of protein sequences generated by highthroughput technologies, four future directions for predicting protein subcellular locations with machine learning should be paid attention. One direction is the selection of novel and effective features (e.g., statistics, physical-chemical, evolutional) from the sequences and structures of proteins. Another is the feature fusion strategy. The third is the design of a powerful predictor and the fourth one is the protein multiple location sites prediction.

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