Artificial intelligence (AI) and its subfield, machine learning, have become indispensable across various industries. With the aid of low-code/no-code development platform like KNIME, understanding and applying machine learning algorithms has been simplified for various fields, including business and information systems, as these platforms reduce…

This response to a paper by Linda Siegel (EC221505) on the relationship between Intelligence Quotient and learning disabilities addresses the differences between classification and identification, limitations in Siegel's conceptualization of intelligence, and the representation of the language and learning domains subsumed within the learning…

Issues raised in responses to Linda Siegel's paper (EC221505) on the relationship between intelligence test scores and learning disabilities are addressed. Discussed are the nature of intelligence, classification of learning disabilities by discrepancy between intelligence test scores and achievement scores, the existence of learning disabilities,…

Learning-disabled adults (N=145) participating in vocational rehabilitation were found to constitute a homogeneous group with severe deficits, exhibiting: low-average general intelligence; lower verbal than performance Intelligence Quotients; attention, reasoning, and auditory memory deficits; academic achievement at the fourth/fifth-grade level;…

The study evaluated the utility of Kaufman-Assessment Battery for Children (K-ABC) subtests in differentiating learning-disabled children from students with other handicapping conditions, and compared K-ABC subtests with Wechsler Intelligence Scale for Children-Revised subtests. Results showed that subtest scores did not enhance differential…

Intended to illuminate current understanding of how the reader's cognition and language and the text's structure affect the processing of prose, this volume contains articles written by educators, linguists, psychologists, and artificial intelligence experts on issues of comprehension research. The first part of the book examines reading…

Forty normal readers and 50 dyslexic children (age 9-14) were matched on reading level and intelligence quotient and tested. Analysis revealed 3 major subgroups: specific deficit in phonological processing of print (52 percent), deficits in processing both the phonological and orthographic features of printed words (24 percent), and phonological…

When pre-referral interventions fall short of resolving a student's learning difficulties, a comprehensive psycho educational evaluation may be necessary. This user-friendly book provides school-based practitioners with a clear framework for assessment and evidence-based intervention planning under the revised IDEA guidelines. A step-by-step flow…

Presents an interview with an intelligence expert and author who proposes that the scope of intelligence testing be broadened according to his new taxonomy of intelligence, and that schools use intelligence tests to diagnose individual students' strengths and weaknesses. (MCG)

Changes in the population of children served as educable mentally retarded (EMR) in the public schools are examined. The term "new" refers to children currently classified as EMR, in contrast to children classified as EMR in the late 1960s, predating court actions challenging the criteria for EMR eligibility. "New" EMRs have an IQ of 50-75, while…

Summarized are two reports of a federally funded project on the use of artificial intelligence in special education. The first report, "Artificial Intelligence Applications in Special Education: How Feasible?," by Alan Hofmeister and Joseph Ferrara, provides information on the development and evaluation of a series of prototype systems…