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J E Johnson Palensky

Publications and source records attributed to J E Johnson Palensky.

2 recordsLinked to original sources

Learning preferences, computer attitudes, and test performance with computer-aided instruction.

BACKGROUND: Learning preference refers to how individuals choose to approach learning situations. Computer-aided instruction (CAI) permits the adaptation of educational content to individual student learning strategies. METHODS: To determine if learning preference and computer attitude influence the acquisition of knowledge using CAI materials, a prototype CAI program was developed that incorporated differing learning exercises. Students (n = 180) completed Rezler's Learning Preference Inventory (LPI) and a computer attitude survey (CAS). The LPI uses three sets of paired scales to characterize learning preference and choice of learning situation. The CAS assesses student attitudes toward computers in general (CAS-G), as well as the educational use of computers (CAS-E). After finishing the program students completed a program attitude survey (CAS-P). Immediate comprehension was assessed by pretests and posttests incorporated into the program. Retention was assessed by a repeat of the posttest 4 to 6 weeks after initial program review. RESULTS: Scores (mean +/- SEM) on the pretest, posttest, and late posttest were 38.1% +/- 1.35%, 70.9% +/- 1.24%, and 62.5% +/- 1.44%, respectively. There was no correlation between students' learning preferences or computer attitude and test performance. CONCLUSIONS: The data indicate that CAI provides a means of delivering educational content that results in an increase in knowledge that is not correlated with computer attitudes or learning preferences.

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Low-income women with early-stage breast cancer: physician and patient decision-making styles.

BACKGROUND: Poor women have low rates of breast conservation therapy not explained by differences in insurance status or treatment preferences. The purpose of this study was to explore how low-income women make decisions about breast cancer treatment. METHODS: Twenty-five women diagnosed with early-stage breast cancer through the Nebraska Every Woman Matters program were interviewed about their experiences selecting treatment options. These interviews were transcribed and then analysed using established qualitative techniques. RESULTS: More than half of the women (n=16) described playing a passive role in decision making. Choice was determined by medical factors or not offered by their physicians. Intense emotional distress affected some women's ability to compare options. The women who did engage in a rational decision-making process (n=9) based their choices on concerns about body image and fear of recurrence. CONCLUSIONS: When presented with a choice, and when able to objectively weigh treatment options, low-income women base their treatment decisions on the same issues as those of higher income. Whether differences in income strata alter the doctor-patient power dynamic in favor of physician control over decision making, or whether low-income women are less prepared to engage in a rational deliberative process warrants further study.

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